Staff Software Engineer - Enterprise Data Governance

• Design develop and maintain full-stack applications that support data governance capabilities (e.g. data catalogs policy management approvals lineage views).
• Build and enhance React front-end applications using TypeScript and modern JavaScript patterns.
• Implement Python and Java backend services and APIs leveraging frameworks such as Django and Spring.
• Design implement and optimize relational data models with PostgreSQL and integrate with Cosmos DB where appropriate.
• Develop and maintain RESTful APIs used by internal services and UIs ensuring reliability security and performance.
• Apply strong Object-Oriented Programming (OOP) practices design patterns and clean code principles across the stack.
• Build test and deploy services on Azure leveraging managed services containers and PaaS capabilities where appropriate.
• Use GitHub for version control code reviews CI/CD workflows and collaboration.
• Collaborate with architects data engineers and governance SMEs to translate functional and non-functional requirements into technical designs.
• Contribute to engineering best practices coding standards observability and operational readiness.
• Participate in on-call and production support rotations as needed troubleshooting and resolving issues in a timely manner.
• Mentor junior engineers and contribute to a culture of continuous improvement accountability and learning.

• 8+ years of hands-on experience.
• Bachelor's degree in Computer Science Software Engineering Information Systems or a related technical field; or equivalent practical experience.
• Strong proficiency in React for building complex component-based front-end applications.
• Strong programming skills in Python and Java for backend/API development.
• Hands-on experience with PostgreSQL (schema design query optimization migrations).
• Professional experience building and operating solutions on Microsoft Azure.
• Proficiency with TypeScript and JavaScript in production systems.
• Hands-on experience with Django (or similar Python web frameworks) for API and service development.
• Hands-on experience with Spring (Spring Boot or related) for Java-based services.
• Strong understanding and practical use of Object-Oriented Programming concepts and design patterns.
• Experience designing and implementing REST APIs including versioning authentication/authorization and documentation.
• Experience with Cosmos DB or equivalent cloud-native NoSQL/datastore technologies.
• Proficiency with GitHub for source control branching strategies pull requests and CI/CD pipelines.
• Familiarity with secure coding practices API security secrets management and identity/authorization patterns in the cloud.
• Relevant professional experience in software engineering preferably in data platforms data governance or other enterprise platform domains.
• Experience operating in a large-scale enterprise environment is a plus.
• Proven ability to deliver high-quality software in an agile environment.
• Strong problem-solving skills with the ability to decompose complex requirements into iterative deliverable increments.
• Effective communication skills with both technical and non-technical stakeholders.
• Ability to work collaboratively in a global cross-functional team and handle multiple priorities in a fast-paced environment.

• Background in Big Data ecosystems and data analytics platforms (e.g. data lakes lakehouses or large-scale data processing systems).
• Experience with Databricks platform and Databricks certifications.
• Hands-on experience with Apache Spark (PySpark or Scala/Java) for data processing and analytics workloads.
• Experience building or integrating with Agentic AI solutions including:
  • Orchestrating tool-using agents or workflow-based AI systems.
  • Integrating LLM-based services into backend applications or UIs.
  • Applying AI to automate governance workflows data quality checks or metadata enrichment.
• Experience with data governance tooling (e.g. data catalogs lineage tools policy engines) or similar enterprise data management platforms.
• Familiarity with distributed systems concepts (scalability resilience consistency) and event-driven architectures.
• Experience with observability stacks (logging metrics tracing) and performance optimization in production environments.

• The expected base compensation for this role is: $160200 - $220500. Actual base compensation within the identified range will vary based on factors relevant to the position.
• 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.

What We Do

At General Motors our vision is to create a world with Zero Crashes Zero Emissions and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better safer and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward together. We’re building vehicle software alongside its hardware hands-free driving that will lead to autonomy and EVs that charge your home for an all-electric future.

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