Large

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems.

Attention: Databricks applicants

Due to reports of phishing, we’re requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news — you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

Technology

Databricks

You need 3-5+ years of technical sales experience, coding proficiency, and expertise in Data Analytics, AI, and cloud platforms. Must be fluent in Polish and adept at building customer relationships and scoping complex solution architectures.

You will form client relationships, provide technical insight, lead transformational journeys, become a trusted advisor, scale best practices, and build the Databricks community.

Data

Munich

You will be an essential part of this mission, using your technical expertise to demonstrate how our Intelligence Platform can help customers solve their complex data challenges and serve as the trusted technical advisor for your customers. You'll work directly with technical and business leaders on their Data and AI strategy and the execution of it, using your pre-sales skills to demonstrate the value of Databricks as a platform. You'll work with a cross-regional, collaborative, customer-focused team in partnership with our different internal departments, wider teams and partners. You will directly report to the Senior Field Engineering Manager.The impact you will have:<ul><li>Form successful relationships with clients throughout your assigned territory, providing technical and business insight to Databricks customers in collaboration with Account Executives.</li><li>You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy</li><li>You will develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence platform.</li><li>Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.</li></ul>What we look for:<ul><li>Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.</li><li>Develop customer relationships and build internal partnerships with account executives and teams.</li><li>3-5+ years customer-facing technical experience and technical / engineering background with coding proficiency.</li><li>Proficient in Data Analytics, AI, Data Engineering, GenAI technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).</li><li>Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.</li><li>Native or Bi-lingual Polish speaker.</li></ul>Benefits<ul><li>Life, accident and disability insurance</li><li>Pension Plan</li><li>Equity awards</li><li>Enhanced Parental Leaves</li><li>Fitness reimbursement</li><li>Annual career development fund</li><li>Home office &amp; work headphones reimbursement</li><li>Business travel accident insurance</li><li>Mental wellness resources</li><li>Employee referral bonus</li></ul>

You will be an essential part of this mission, using your technical expertise to demonstrate how our Intelligence Platform can help customers solve their complex data challenges and serve as the trusted technical advisor for your customers. You'll work directly with technical and business leaders on their Data and AI strategy and the execution of it, using your pre-sales skills to demonstrate the value of Databricks as a platform. You'll work with a cross-regional, collaborative, customer-focused team in partnership with our different internal departments, wider teams and partners. You will directly report to the Senior Field Engineering Manager.The impact you will have:Form successful relationships with clients throughout your assigned territory, providing technical and business insight to Databricks customers in collaboration with Account Executives.You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategyYou will develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence platform.Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.What we look for:Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.Develop customer relationships and build internal partnerships with account executives and teams.3-5+ years customer-facing technical experience and technical / engineering background with coding proficiency.Proficient in Data Analytics, AI, Data Engineering, GenAI technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.Native or Bi-lingual Polish speaker.BenefitsLife, accident and disability insurancePension PlanEquity awardsEnhanced Parental LeavesFitness reimbursementAnnual career development fundHome office & work headphones reimbursementBusiness travel accident insuranceMental wellness resourcesEmployee referral bonus

Solutions Architect - Databricks

Solutions Architect

You need 5+ years of ML experience, a graduate degree in a quantitative discipline, excellent communication skills, Apache Spark expertise, and willingness to travel up to 30%.

You will architect ML workloads, provide technical support, collaborate with product/engineering teams, build customer data science workloads, and be a trusted advisor for developing GenAI solutions.

Bachelors

As a Specialist Solutions Architect (SSA) - Data Scientist / ML Engineer, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, You will continue to strengthen your technical skills through applying the latest technologies in GenAI, MLOps, and ML, while expanding your impact through mentorship and establishing yourself as a ML expert.#LI-OnsiteThe impact you will have:<ul><li>Architect production level ML workloads for customers using our unified platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services and MLOps</li><li>Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, and participating in the larger ML Subject Matter Expert community in Databricks</li><li>Collaborate with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ ML offerings</li><li>Build and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains</li><li>Be a trusted technical advisor for customers developing GenAI solutions, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, content generation, and monitoring.</li></ul>What we look for:<ul><li>5+ years of hands-on industry ML experience in at least one of the following:</li><li class="ql-indent-1">ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring</li><li class="ql-indent-1">Data Scientist: Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI</li><li>Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience</li><li>Experience communicating and teaching technical concepts to non-technical and technical audiences alike</li><li>Experience with collaboration, life-long learning, and driving our values through ML</li><li>[Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role</li><li>[Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets</li><li>Can meet expectations for technical training and role-specific outcomes within 3 months of hire</li><li>Can travel up to 30% when needed</li></ul>Benefits<ul><li>Private medical insurance</li><li>Life, accident &amp; disability insurance</li><li>Pension Plan</li><li>Vision Reimbursement</li><li>Equity awards</li><li>Enhanced Parental Leaves</li><li>Fitness reimbursement</li><li>Annual career development fund</li><li>Home office &amp; work headphones reimbursement</li><li>Business travel accident insurance</li><li>Mental wellness resources</li><li>Employee referral bonus</li></ul>

As a Specialist Solutions Architect (SSA) - Data Scientist / ML Engineer, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, You will continue to strengthen your technical skills through applying the latest technologies in GenAI, MLOps, and ML, while expanding your impact through mentorship and establishing yourself as a ML expert.#LI-OnsiteThe impact you will have:Architect production level ML workloads for customers using our unified platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services and MLOpsProvide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, and participating in the larger ML Subject Matter Expert community in DatabricksCollaborate with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ ML offeringsBuild and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domainsBe a trusted technical advisor for customers developing GenAI solutions, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, content generation, and monitoring.What we look for:5+ years of hands-on industry ML experience in at least one of the following:ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoringData Scientist: Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAIGraduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experienceExperience communicating and teaching technical concepts to non-technical and technical audiences alikeExperience with collaboration, life-long learning, and driving our values through ML[Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role[Preferred] Experience working with Apache Spark™ to process large-scale distributed datasetsCan meet expectations for technical training and role-specific outcomes within 3 months of hireCan travel up to 30% when neededBenefitsPrivate medical insuranceLife, accident & disability insurancePension PlanVision ReimbursementEquity awardsEnhanced Parental LeavesFitness reimbursementAnnual career development fundHome office & work headphones reimbursementBusiness travel accident insuranceMental wellness resourcesEmployee referral bonus

Specialist Solutions Architect - GenAI - Databricks

Specialist Solutions Architect - GenAI

You should have experience with pre/post-sales, cloud-based data solutions, MPP and cloud data warehouses, data modeling, SQL, BI tools, programming languages, and a Bachelor's degree in a related field for this remote role with up to 30% travel.

You will provide technical leadership for strategic customers, guide data warehouse migrations, become an expert in cloud platforms, create best practices assets, and improve community adoption.

Software Engineering

As a Senior Specialist Solutions Engineer (Sr SSE), you will guide customers in building big data solutions on Databricks that span a large variety of use cases with complex/specialized needs. This is a customer-facing role, working with and supporting the Solution Architects, requiring hands-on production experience with SQL and data warehousing and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to consolidate the skills in your area of specialty.#LI-OnsiteThe impact you will have:<ul><li>Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices.</li><li>Provide guidance, best practices and oversight for large-scale enterprise data warehouse migrations, serving as a trusted technical advisor to senior tech leads and executives</li><li>Become a technical expert in areas such as cloud platforms, data management, performance, and architecture</li><li>Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures</li><li>Create best practices assets and thought leadership content to be used by the wider field engineering team</li><li>Improve community adoption (through tutorials, training, hackathons, conference presentations)</li><li>Contribute to the Databricks Community, act as a technical SME and lead initiatives to improve efficiency beyond their immediate team.</li></ul>What we look for:<ul><li>Pre-sales or post-sales experience working with external clients across a variety of industry markets</li><li>Design performant, scalable, secure and cost effective cloud-based data solutions, and articulate architectures and design choices to customer's senior stakeholders.</li><li>Experience with design and implementation of a broad range of data technologies such as Hadoop, Apache Spark™, NoSQL, OLTP, OLAP, and ETL/ELT.</li><li>Hands-on experience working with MPP data warehouse appliances (Oracle Exadata, Teradata, IBM Netezza, []) or cloud data warehouses (Amazon Redshift, Azure Synapse, Snowflake)</li><li>Advise customers in Data Warehousing architecture, including anticipating blockers and address them before they become an issue</li><li>Familiarity with common data modeling methodologies such as dimensional modeling, Data Vault, Inmon</li><li>Experience in SQL language or any SQL dialect (PL/SQL, Transact-SQL or others)</li><li>Experience with BI tools such Power BI, Tableau, Qlik, or others</li><li>Knowledge of development tools and best practices for data engineers including CI/CD, unit and integration testing, plus automation and orchestration</li><li>Production programming experience in one of the following languages - Python, Scala, or R</li><li>Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience</li><li>This role can be remote and can travel up to 30% when needed.</li></ul>Benefits<ul><li>Private medical insurance</li><li>Life, accident &amp; disability insurance</li><li>Pension Plan</li><li>Vision Reimbursement</li><li>Equity awards</li><li>Enhanced Parental Leaves</li><li>Fitness reimbursement</li><li>Annual career development fund</li><li>Home office &amp; work headphones reimbursement</li><li>Business travel accident insurance</li><li>Mental wellness resources</li><li>Employee referral bonus</li></ul>

As a Senior Specialist Solutions Engineer (Sr SSE), you will guide customers in building big data solutions on Databricks that span a large variety of use cases with complex/specialized needs. This is a customer-facing role, working with and supporting the Solution Architects, requiring hands-on production experience with SQL and data warehousing and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to consolidate the skills in your area of specialty.#LI-OnsiteThe impact you will have:Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices.Provide guidance, best practices and oversight for large-scale enterprise data warehouse migrations, serving as a trusted technical advisor to senior tech leads and executivesBecome a technical expert in areas such as cloud platforms, data management, performance, and architectureAssist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architecturesCreate best practices assets and thought leadership content to be used by the wider field engineering teamImprove community adoption (through tutorials, training, hackathons, conference presentations)Contribute to the Databricks Community, act as a technical SME and lead initiatives to improve efficiency beyond their immediate team.What we look for:Pre-sales or post-sales experience working with external clients across a variety of industry marketsDesign performant, scalable, secure and cost effective cloud-based data solutions, and articulate architectures and design choices to customer's senior stakeholders.Experience with design and implementation of a broad range of data technologies such as Hadoop, Apache Spark™, NoSQL, OLTP, OLAP, and ETL/ELT.Hands-on experience working with MPP data warehouse appliances (Oracle Exadata, Teradata, IBM Netezza, []) or cloud data warehouses (Amazon Redshift, Azure Synapse, Snowflake)Advise customers in Data Warehousing architecture, including anticipating blockers and address them before they become an issueFamiliarity with common data modeling methodologies such as dimensional modeling, Data Vault, InmonExperience in SQL language or any SQL dialect (PL/SQL, Transact-SQL or others)Experience with BI tools such Power BI, Tableau, Qlik, or othersKnowledge of development tools and best practices for data engineers including CI/CD, unit and integration testing, plus automation and orchestrationProduction programming experience in one of the following languages - Python, Scala, or RBachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experienceThis role can be remote and can travel up to 30% when needed.BenefitsPrivate medical insuranceLife, accident & disability insurancePension PlanVision ReimbursementEquity awardsEnhanced Parental LeavesFitness reimbursementAnnual career development fundHome office & work headphones reimbursementBusiness travel accident insuranceMental wellness resourcesEmployee referral bonus

Sr Specialist Solutions Engineer - Data Warehousing - Databricks

Sr Specialist Solutions Engineer - Data Warehousing

You need 3+ years technical experience in data governance, cloud governance tools knowledge, and big data technologies expertise. Customer-facing and programming skills required. Can be remote from Germany but willing to travel up to 30%.

You will lead strategic customers in successful implementations of data governance solutions, provide technical guidance, educate on governance models, assist with advanced sales aspects, offer tutorials and training, and contribute to the Databricks Community.

As a Sr Specialist Solutions Engineer (SSE) - Data Governance, you will guide a variety of customers in adopting Unity Catalog (a unified data governance solution) and Delta Sharing (a secure data sharing platform) on Databricks. for a variety of different customers. You will be in a customer-facing role, working with and supporting the Solution Architects, which requires production deployment experience with data governance solutions and hands-on experience with cloud data lakes and data warehouses. You will help customers learn how to use our products to govern their files, tables, machine learning models, and dashboards in the cloud and to collaborate using our sharing technologies. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the area of data governance.<h3>The impact you will have:</h3><ul><li>Provide technical leadership to guide strategic customers to successful implementations on Unity Catalog and Delta Sharing, ranging from advisory and design to deployment to troubleshooting.</li><li>Understand the built-in roles and identity concepts in Databricks, and how to map those to fit organizational requirements.</li><li>Communicate and educate customers on organizational models of governance and how they map to usage of data governance products in Databricks.</li><li>Assist Solution Architects with more advanced aspects of the technical sale including pilot advisory services, custom proof of concept content, estimating workload sizing, and custom architectures.</li><li>Provide tutorials and training to improve community adoption (including hackathons and conference presentations)</li><li>Contribute to the Databricks Community</li></ul><h3>What we look for:</h3><ul><li>3+ years experience in a technical role with expertise in data governance or data management.</li><li>Experience with any cloud governance tools like Collibra, Alation, Azure Purview, Atlan, Apache Atlas, Privacera, Inmmuta…etc</li><li>Experience in designing and developing a data governance model that supports different layers of access control, data isolation and data sharing</li><li>Experience implementing Data Governance Solutions into Production with complex needs.</li><li>Experience working with Meta Stores (e.g., Hive Metastore) and governance policies, roles for cloud data storage systems.</li><li>2 years professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka)</li><li>Production programming experience in SQL and Python, Scala, or Java.</li><li>2 years customer-facing experience in a pre-sales or post-sales role</li><li>Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.</li><li>This role can be remote from Germany, but we prefer that you be located in the job listing area and can travel up to 30% when needed.</li></ul>Benefits<ul><li>Private medical insurance</li><li>Life, accident &amp; disability insurance</li><li>Pension Plan</li><li>Vision Reimbursement</li><li>Equity awards</li><li>Enhanced Parental Leaves</li><li>Fitness reimbursement</li><li>Annual career development fund</li><li>Home office &amp; work headphones reimbursement</li><li>Business travel accident insurance</li><li>Mental wellness resources</li><li>Employee referral bonus</li></ul>

As a Sr Specialist Solutions Engineer (SSE) - Data Governance, you will guide a variety of customers in adopting Unity Catalog (a unified data governance solution) and Delta Sharing (a secure data sharing platform) on Databricks. for a variety of different customers. You will be in a customer-facing role, working with and supporting the Solution Architects, which requires production deployment experience with data governance solutions and hands-on experience with cloud data lakes and data warehouses. You will help customers learn how to use our products to govern their files, tables, machine learning models, and dashboards in the cloud and to collaborate using our sharing technologies. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the area of data governance.The impact you will have:Provide technical leadership to guide strategic customers to successful implementations on Unity Catalog and Delta Sharing, ranging from advisory and design to deployment to troubleshooting.Understand the built-in roles and identity concepts in Databricks, and how to map those to fit organizational requirements.Communicate and educate customers on organizational models of governance and how they map to usage of data governance products in Databricks.Assist Solution Architects with more advanced aspects of the technical sale including pilot advisory services, custom proof of concept content, estimating workload sizing, and custom architectures.Provide tutorials and training to improve community adoption (including hackathons and conference presentations)Contribute to the Databricks CommunityWhat we look for:3+ years experience in a technical role with expertise in data governance or data management.Experience with any cloud governance tools like Collibra, Alation, Azure Purview, Atlan, Apache Atlas, Privacera, Inmmuta…etcExperience in designing and developing a data governance model that supports different layers of access control, data isolation and data sharingExperience implementing Data Governance Solutions into Production with complex needs.Experience working with Meta Stores (e.g., Hive Metastore) and governance policies, roles for cloud data storage systems.2 years professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka)Production programming experience in SQL and Python, Scala, or Java.2 years customer-facing experience in a pre-sales or post-sales roleBachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.This role can be remote from Germany, but we prefer that you be located in the job listing area and can travel up to 30% when needed.BenefitsPrivate medical insuranceLife, accident & disability insurancePension PlanVision ReimbursementEquity awardsEnhanced Parental LeavesFitness reimbursementAnnual career development fundHome office & work headphones reimbursementBusiness travel accident insuranceMental wellness resourcesEmployee referral bonus

Sr Specialist Solutions Engineer - Data Governance - Databricks

Sr Specialist Solutions Engineer - Data Governance

You should have pre/post-sales experience, design scalable cloud-based data solutions, work with data technologies, advise on Data Warehousing architecture, understand data modeling, use BI tools, know development best practices, program in Python/Scala/R, and have a Bachelor's degree or equivalent work experience. This role is remote with up to 30% travel.

You will lead customers in cloud transformations for data warehousing, architect production workloads, provide technical expertise, assist with proof of concept, deliver training, and contribute to the Databricks community.

Berlin

As a Sr Specialist Solutions Engineer (Sr SSE) - Data Warehouse, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with Apache Spark™ and expertise in other data technologies. You will help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be streaming, performance tuning, industry expertise, or more. #LI-OnsiteThe impact you will have:<ul><li>Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads - ranging from evaluation to architecture design to production deployment</li><li>Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization</li><li>Become a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrations</li><li>Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production</li><li>Provide tutorials and training to improve community adoption (including hackathons and conference presentations)</li><li>Contribute to the Databricks Community</li></ul>What we look for:<ul><li>Pre-sales or post-sales experience working with external clients across a variety of industry markets</li><li>Design performant, scalable, secure and cost effective cloud-based data solutions, and articulate architectures and design choices to customer's senior stakeholders.</li><li>Experience with design and implementation of a broad range of data technologies such as Hadoop, Apache Spark™, NoSQL, OLTP, OLAP, and ETL/ELT.</li><li>Hands-on experience working with MPP data warehouse appliances (Oracle Exadata, Teradata, IBM Netezza) or cloud data warehouses (Amazon Redshift, Azure Synapse, Snowflake)</li><li>Advise customers in Data Warehousing architecture, including anticipating blockers and address them before they become an issue</li><li>Familiarity with common data modeling methodologies such as dimensional modeling, Data Vault, Inmon</li><li>Experience in SQL language or any SQL dialect (PL/SQL, Transact-SQL or others)</li><li>Experience with BI tools such Power BI, Tableau, Qlik, or others</li><li>Knowledge of development tools and best practices for data engineers including CI/CD, unit and integration testing, plus automation and orchestration</li><li>Production programming experience in one of the following languages - Python, Scala, or R</li><li>Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience</li><li>This role can be remote and can travel up to 30% when needed.</li></ul>Benefits<ul><li>Private medical insurance</li><li>Life, accident &amp; disability insurance</li><li>Pension Plan</li><li>Vision Reimbursement</li><li>Equity awards</li><li>Enhanced Parental Leaves</li><li>Fitness reimbursement</li><li>Annual career development fund</li><li>Home office &amp; work headphones reimbursement</li><li>Business travel accident insurance</li><li>Mental wellness resources</li><li>Employee referral bonus</li></ul>

As a Sr Specialist Solutions Engineer (Sr SSE) - Data Warehouse, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with Apache Spark™ and expertise in other data technologies. You will help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be streaming, performance tuning, industry expertise, or more. #LI-OnsiteThe impact you will have:Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads - ranging from evaluation to architecture design to production deploymentProve the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimizationBecome a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrationsAssist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for productionProvide tutorials and training to improve community adoption (including hackathons and conference presentations)Contribute to the Databricks CommunityWhat we look for:Pre-sales or post-sales experience working with external clients across a variety of industry marketsDesign performant, scalable, secure and cost effective cloud-based data solutions, and articulate architectures and design choices to customer's senior stakeholders.Experience with design and implementation of a broad range of data technologies such as Hadoop, Apache Spark™, NoSQL, OLTP, OLAP, and ETL/ELT.Hands-on experience working with MPP data warehouse appliances (Oracle Exadata, Teradata, IBM Netezza) or cloud data warehouses (Amazon Redshift, Azure Synapse, Snowflake)Advise customers in Data Warehousing architecture, including anticipating blockers and address them before they become an issueFamiliarity with common data modeling methodologies such as dimensional modeling, Data Vault, InmonExperience in SQL language or any SQL dialect (PL/SQL, Transact-SQL or others)Experience with BI tools such Power BI, Tableau, Qlik, or othersKnowledge of development tools and best practices for data engineers including CI/CD, unit and integration testing, plus automation and orchestrationProduction programming experience in one of the following languages - Python, Scala, or RBachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experienceThis role can be remote and can travel up to 30% when needed.BenefitsPrivate medical insuranceLife, accident & disability insurancePension PlanVision ReimbursementEquity awardsEnhanced Parental LeavesFitness reimbursementAnnual career development fundHome office & work headphones reimbursementBusiness travel accident insuranceMental wellness resourcesEmployee referral bonus

Databricks

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