Cloud Solution Architect - Platform Operations Lead

Key Skills

Aartificial intelligence, Azure, Continuous Integration & Continuous Delivery - CI/CD, Data Architecture, Databricks, Effective communication skills, Git, Github, Leadership Skill, Machine learning techniques, MLOps tools, Operations, Python Programming

Job Description

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.
• 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.

This role is based remotely but if you live within a 50-mile radius of Warren, MI, you are expected to report to that location three times a week, at minimum.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.