Manager, Data Engineering
$111.5k - $185.9kCox
NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data pipelines, transformation platforms, and analytics infrastructure powering floor plan lending operations. As Cox Automotive evolves toward AI-assisted, spec-driven development practices, you will play a key role in guiding your team through this transformation - championing specification quality, enabling cross-team collaboration, and ensuring AI-generated code meets our engineering standards. What You'll Do:
- Build and lead a high-performing, cross-functional data engineering team, mentoring engineers and establishing growth paths into AI-augmented engineering practices
- Oversee the full software development lifecycle for data pipelines, transformations, and analytics services running in Azure, AWS, and Snowflake
- Ensure delivery of secure, well-tested, scalable data systems aligned to NextGear's Domain Constitution and Target State Architecture
- Champion spec-driven development workflows - detailed Change Specs authored collaboratively before code generation, validation against architectural guardrails before merge
- Maintain and contribute to component constitutions and context packs that guide AI-assisted code generation in your team's repositories
- Partner with product managers, architects, and platform teams to deliver against NextGear's roadmap, and coordinate across the Release Train to keep team patterns aligned with shared SDD standards
- Drive experimentation with AI coding workflows and surface effective patterns and anti-patterns back to the broader engineering organization
- Bachelor's degree in a related discipline and 6 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 year experience in a related field; or 18 years' experience in a related field
- 1+ year of experience in management or lead role
- Hands-on experience with AI coding assistants (e.g., Claude Code, GitHub Copilot) as a primary part of the development workflow
- Demonstrated experience with spec-driven or design-doc-gated development workflows (e.g., OpenSpec, BMAD, GitHub SpecKit, or equivalent RFC/ADR-driven practices applied at team scale)
- Experience reviewing AI-generated code and implementation plans for quality, security, and architectural compliance
- Experience with modern software engineering practice: CI/CD, code review discipline, test strategy, observability, incremental modernization
- Hands-on experience in Azure cloud environments, including Azure Functions and Azure-based data platform services
- Experience with Microsoft Fabric for data pipelines and transformation, including Fabric-based ETL/FTP integration patterns
- Familiarity with AWS services commonly used for data workloads (AppFlow, S3, Lambda, Fargate, EC2)
- Direct data engineering experience: data modeling, SQL/SQL Server, dbt, data governance practices, Erwin or comparable modeling tools
- Experience with Snowflake and modern cloud data warehousing
- Experience with Power BI or comparable analytics platforms
- Experience in automotive finance, lending, or risk management domains
- Experience creating or governing component-level documentation artifacts (constitutions, context packs, architecture overviews, operational runbooks) that enable cross-team portability
- Experience with CI/CD pipelines and infrastructure as code (Terraform, CloudFormation, Bicep, or comparable)
Vacancy posted 13 hours ago
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