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Principal Technical Architect, Data Cloud



19d ago

  • Job
    Senior & Expert Level
  • Data
  • Los Angeles, +1
  • Quick Apply


  • Experience in solutions engineering/solutions architecture/technical consulting, ideally in the B2B SaaS space, particularly cloud data platforms
  • Strong verbal and presentation abilities, capable of effectively communicating ideas to clients and prospective clients at all levels of an organization
  • Understanding & ability to articulate the relationship between Data and Customer Relationship Management, aka the Customer360
  • Demonstrable ability to shift clients to alternative solutions when initial solutions are not a fit, with examples to support this. Demonstrable experience leading strategy and digital roadmap projects in a complex business environment
  • Experience with Data Warehouses, Data Lakes, Cloud Technology, Business Intelligence and CRM products
  • Experience in programming languages such as Javascript, Python, and SQL or Salesforce App Development with LWCs, Apex, Flow etc
  • Preferred Requirements:
  • Implementation or Sales Experience in Salesforce Data Cloud
  • Hands on Experience on Salesforce CRM technology like Sales Cloud, Service Cloud or any Industry Clouds
  • Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science
  • Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI.
  • Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft Azure or Google Cloud Platform.
  • Hands-on expertise with analytics tools like Tableau, PowerBI, Looker, etc
  • Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, etc.)


  • Solve Business Problems - Analyze complex business problems by conducting research and assessments to define the problem, generate innovative ideas, see opportunities, and recommend actionable solutions.
  • Drive Innovation & Customer Adoption - Bring structure to the client's decision-making process by communicating and evaluating solution options, and facilitating agreement among key stakeholders that helps customer’s prioritize high-value solutions, driving business impact.
  • Connect the “Art of the Possible” - Assist Solutions Engineers with delivering software demonstrations, rapid prototyping, and storytelling to show how connected experiences come to life with the Salesforce Data Cloud & Salesforce CRM.
  • Cross Platform Collaboration - You will use your understanding of customers’ use cases across industries and multiple technology landscapes (CRM, Modern Data Stack, Analytics & BI, CRM and AI) to develop solutions across the Salesforce's technology stack.
  • Provide Technical Domain Expertise - Answer in-depth Data Cloud questions related to data governance, security, and other technical capabilities. Create architectural diagrams, write technical thought-leadership pieces (blogs, whitepapers, etc.), documentation, enablement materials to help us stay ahead of industry trends and help our customer’s implement best practices with Data Cloud.

👋 We’re Salesforce, the Customer Company. AI + Data + CRM = Customer Magic. ✨


Mission & Purpose

Salesforce is a leading cloud-based software company that provides customer relationship management (CRM) solutions and a wide range of enterprise applications. Their platform enables businesses to manage customer interactions, sales processes, marketing campaigns, and service operations in a centralised and efficient manner. Salesforce's ultimate mission is to empower companies to connect with their customers, partners, and employees in meaningful ways, fostering stronger relationships and driving business growth. Their purpose is to revolutionise the way businesses operate by offering a comprehensive suite of cloud-based tools and applications that streamline processes, enhance collaboration, and enable organisations to make data-driven decisions. With a strong focus on innovation, customer success,