Staff Data Engineer

• →Own the technical direction and end-to-end delivery of services and initiatives, from requirements and architecture through development, testing, deployment, observability, support, and continuous improvement.
• →Design, develop, and evolve scalable microservices and RESTful APIs using Java and Spring Boot on Microsoft Azure.
• →Make and communicate architecture decisions that balance business needs, security, reliability, scalability, maintainability, and delivery speed.
• →Build secure, resilient services using Azure capabilities, container-based workloads, and cloud-native design patterns.
• →Translate business needs into technical designs, implementation plans, and incremental delivery milestones in partnership with Legal, product teams, architects, and other stakeholders.
• →Drive engineering work across team and organizational boundaries, resolve technical dependencies, and keep complex initiatives moving toward delivery.
• →Apply event-driven architectures, messaging, and streaming platforms such as Kafka or Azure Event Hubs.
• →Use CI/CD pipelines, automation, and DevOps practices to improve deployment quality and operational readiness.
• →Apply relational and NoSQL databases, selecting appropriate technologies and data patterns for the use case.
• →Establish and improve observability using logging, metrics, and tracing; use operational insights to guide continuous improvement.
• →Use AI-assisted development tools thoughtfully to accelerate delivery while maintaining code quality, security, and engineering judgment.
• →Lead technical design discussions, architecture forums, and code reviews; explain tradeoffs and help teams converge on effective solutions.
• →Mentor and support other engineers through technical guidance, pairing, and knowledge sharing, without direct people-management responsibilities.
• →Identify opportunities to improve engineering practices, tooling, and platform capabilities, and drive adoption of effective changes.

• 8+ years of professional software development experience building production-grade applications.
• Experience designing and operating large-scale, highly available systems in a global enterprise environment
• Bachelor’s degree in computer science, Software Engineering, or a closely related technical field, or equivalent demonstrable professional software engineering experience.
• Demonstrated ability to coach and elevate engineers through technical guidance, mentoring, and pairing. Foster collaboration, psychological safety, and continuous learning through day-to-day technical leadership. Simplify complex problems and present a clear technical perspective to non-technical stakeholders.
• Strong hands-on experience with Java and Spring Boot, including microservices-based architectures.
• Champion change and drive adoption of tools, patterns, and engineering practices.
• Proven experience designing, building, and consuming RESTful APIs.

• Practical experience with Microsoft Azure, preferably including container-based workloads.
• Strong experience with event-driven architectures, messaging, and streaming platforms such as Kafka, Event Hubs, or similar.
• Experience with Kubernetes (AKS) or similar for container orchestration, deployment, and scaling
• Working knowledge of relational and NoSQL databases such as PostgreSQL, Oracle, MySQL, Redis, or Cassandra.
• Experience with CI/CD pipelines, DevOps practices, and Git-based workflows.
• Solid understanding of cloud-native architectures, distributed systems, resiliency, and scalability patterns.
• Experience working in Agile/Scrum development environments.
• Demonstrated ability to drive complex technical initiatives, lead design discussions, and influence architecture and engineering decisions through hands-on contribution.
• Hands-on experience with observability tooling, including logging, metrics, and tracing.
• Strong analytical and problem-solving skills, with a bias toward action, ownership, and pragmatic delivery.
• Ability to communicate technical concepts and tradeoffs clearly to both technical and non-technical stakeholders.

• Data Privacy background or experience is helpful but not required; strong software engineering skills are the priority.
• Practical experience with security best practices, including OAuth2/OIDC, JWT, and secrets management.
• Experience modernizing legacy or monolithic applications into microservices and cloud-native architectures.
• Excellent written and verbal communication skills, with the ability to influence across teams and levels.

This job may be eligible for relocation benefits.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

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