Cloud Solution Architect - Platform Operations Lead

General Motors

Aug 29, 2024

Job
Full-time
Junior Level
Detroit
Remote
Quick Apply

AI generated summary

You need experience as a Lead Architect, cloud-based AI/ML, threat analysis, Azure security, architecture diagrams, data flow diagrams, caching for speed, and strong data architecture knowledge.
You will lead data architecture strategy, develop data products and ML models, ensure operational health, integrate insights into applications, and mentor a skilled team while driving continuous innovation.

Requirements

Proven experience as a Lead Architect with a focus on creating data assets, developing data products, and implementing ML models.
1.5 years of operating experience with Cloud Based Production AI/ML/Data Systems.
Proven ability to create an end to end Threat Analysis with a Threat Modeling tool.
Experience in creating key rotation automation.
Experience running the security perimeter of Azure app services or equivalent.
Ability to create complete Architecture Diagrams in Lucid or Visio - for review by Enterprise Architecture Review Board.
Experience creating end to end Data Flow Diagrams.
Experience with running various caching approaches to achieve sub 200MS response times.
Direct experience instrumenting "every hop" in a data ecosystem via Healthcheck heartbeat monitors that are API ready and can be rolled up into a single pane of glass health dashboard.
Requirements/Tools: Azure, Databricks, CICD, APM, Hands on keyboard capability - Python preferred
Strong understanding of data architecture principles, including data modeling, ETL processes, and data warehousing.
Experience with machine learning frameworks and tools, with a track record of successful model development and deployment.
Proficiency in integrating data assets with dashboards and applications to deliver actionable insights.
Excellent leadership and communication skills, with the ability to collaborate with technical and non-technical stakeholders.
Demonstrated success in driving projects that contribute to organizational revenue.
Bachelor’s degree in Computer Science, Information Technology, or a related field; Advanced degree or relevant certifications in data architecture, machine learning, or related areas is highly desirable.

Responsibilities

The Role:
General Motors is a forward-thinking organization dedicated to harnessing the power of data to drive business growth and innovation. We are looking for an accomplished Lead Architect with a strong background in creating data assets, developing data products, and a robust release management practice that allows GM to implement machine learning models. As a pivotal member of our technology leadership team, you will play a key role in shaping our data architecture strategy and ensuring the successful delivery of insights that contribute to the organization's financial success.
This role focuses on the day to day Operations of the GM "Insight Factory" - including End to End health of the data ecosystem.
What You'll Do:
Data Architecture and Strategy:
- Lead the development and execution of the overall data architecture strategy. (Azure based with Databricks at this time)
- Design and implement robust data assets, ensuring scalability, reliability, and performance.
- Add functionality/expand the limits of functionality of GitHub Enterprise, GitHub Actions, Git Flow (including CoPilot)
- Build additional functionality into the existing CICD to produce reliable release artifacts that allow us to control the quality of code in our environment.
- Work closely with the Operations Lead to implement APM that allows for the creation and monitoring of “End to End” timing charts – every step and no step missed. Work with Infra Leads to implement deployment isolation and release best practices to ensure smooth, frequent releases with appropriate rollback.
Data Product and ML Model and Application Development:
- Oversee the creation of data products that leverage the organization's data assets.
- Lead the development and deployment of machine learning models that enhance decision-making processes
- Leverage our existing stack – including ML Flow - to implement ML Ops and create a model registry. Develop approach to support Dev,Test,PreProd and Prod environment release process.
Integration with Dashboards and Applications:
- Collaborate with cross-functional teams to integrate data assets, data products, and ML models into dashboards and applications. Ensure seamless interaction between data components and front-end applications.
Insight Generation and Monetization:
- Play a pivotal role in generating actionable insights from data products and ML models. Work closely with business stakeholders to identify opportunities for monetizing data assets and insights.
Hands-on Leadership:
- Be hands-on with the creation and implementation of data assets, data products, and ML models. Mentor and guide a team of skilled professionals in adopting best practices and achieving project goals.
Continuous Innovation:
- Stay abreast of emerging trends and technologies in data architecture, machine learning, and analytics.
- Drive continuous innovation in the development of data assets and ML models.
Your Skills & Abilities (Required Qualifications):
Proven experience as a Lead Architect with a focus on creating data assets, developing data products, and implementing ML models.
1.5 years of operating experience with Cloud Based Production AI/ML/Data Systems.
Proven ability to create an end to end Threat Analysis with a Threat Modeling tool.
Experience in creating key rotation automation.
Experience running the security perimeter of Azure app services or equivalent.
Ability to create complete Architecture Diagrams in Lucid or Visio - for review by Enterprise Architecture Review Board.
Experience creating end to end Data Flow Diagrams.
Experience with running various caching approaches to achieve sub 200MS response times.
Direct experience instrumenting "every hop" in a data ecosystem via Healthcheck heartbeat monitors that are API ready and can be rolled up into a single pane of glass health dashboard.
Requirements/Tools: Azure, Databricks, CICD, APM, Hands on keyboard capability - Python preferred
Strong understanding of data architecture principles, including data modeling, ETL processes, and data warehousing.
Experience with machine learning frameworks and tools, with a track record of successful model development and deployment.
Proficiency in integrating data assets with dashboards and applications to deliver actionable insights.
Excellent leadership and communication skills, with the ability to collaborate with technical and non-technical stakeholders.
Demonstrated success in driving projects that contribute to organizational revenue.
Bachelor’s degree in Computer Science , Information Technology, or a related field; Advanced degree or relevant certifications in data architecture, machine learning, or related areas is highly desirable.

FAQs

Do we support remote work?

Yes, this role is based remotely but requires reporting to the Warren, MI location at least three times a week if you live within a 50-mile radius.

What does the Cloud Solution Architect - Platform Operations Lead role entail?

The role involves leading and developing data architecture strategy, overseeing the creation and deployment of data products and machine learning models, and ensuring the health of the GM "Insight Factory" data ecosystem.

What are the required qualifications for this position?

Required qualifications include proven experience as a Lead Architect focusing on data assets and ML models, at least 1.5 years of operating experience with cloud-based AI/ML/data systems, and strong knowledge of data architecture principles.

Does this position require experience in a specific technology stack?

Yes, experience with Azure, Databricks, CICD, and proficiency in Python is required for this position.

Can I apply if I need immigration sponsorship?

No, GM does not provide immigration-related sponsorship for this role, so do not apply if you will need GM immigration sponsorship now or in the future.

What is the salary range for this position?

The salary range for this role is between $116,100 and $181,600, depending on various relevant factors.

What benefits does GM offer?

GM offers a variety of benefits, including medical, dental, vision, retirement plans, paid vacation, tuition assistance, and discounts on GM vehicles.

Is there an emphasis on continuous learning and innovation in this role?

Yes, the role encourages staying updated with emerging trends and technologies in data architecture and analytics, driving continuous innovation in data and ML model development.

What are the key responsibilities associated with this position?

Key responsibilities include leading data architecture strategy, overseeing data product and ML model development, ensuring integration with applications and dashboards, and generating actionable insights for monetization.

Is there a mentorship component to this position?

Yes, the position includes a hands-on leadership aspect where you will mentor and guide a team of skilled professionals.

General Motors

Manufacturing & Electronics

Industry

10,001+

Employees

Mission & Purpose

General Motors’ vision is to create a world with Zero Crashes, Zero Emissions and Zero Congestion, and we have committed ourselves to leading the way toward this future. Today, we are in the midst of a transportation revolution, and we have the ambition, the talent and the technology to realize the safer, better and more sustainable world we want. As an open, inclusive company, we’re also creating an environment where everyone feels welcomed and valued for who they are. One team, where all ideas are considered and heard, where everyone can contribute to their fullest potential, with a culture based in respect, integrity, accountability and equality. Our team brings wide-ranging perspectives and experiences to solving the complex transportation challenges of today and tomorrow.