Manager, Data Engineering

Skip to main contentEnglishSign InManager, Data Engineering page is loadedManager, Data EngineeringApplylocationsCarmel INtime typeFull timeposted onPosted Todayjob requisition idR202677673CompanyCox Automotive - USAJob Family GroupEngineering / Product DevelopmentJob ProfileManager, Data EngineeringManagement LevelManager - People LeaderFlexible Work Option Hybrid - Ability to work remotely part of the weekTravel %NoWork ShiftDayCompensationCompensation includes a base salary in the range of $111,500.00 - $185,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.Job DescriptionNextGear 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 practicesOversee the full software development lifecycle for data pipelines, transformations, and analytics services running in Azure, AWS, and SnowflakeEnsure delivery of secure, well-tested, scalable data systems aligned to NextGear's Domain Constitution and Target State ArchitectureChampion spec-driven development workflows — detailed Change Specs authored collaboratively before code generation, validation against architectural guardrails before mergeMaintain and contribute to component constitutions and context packs that guide AI-assisted code generation in your team's repositoriesPartner 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 standardsDrive experimentation with AI coding workflows and surface effective patterns and anti-patterns back to the broader engineering organizationWho You AreMinimumBachelor’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 field1+ year of experience in management or lead roleHands-on experience with AI coding assistants (e.g., Claude Code, GitHub Copilot) as a primary part of the development workflowDemonstrated 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 complianceExperience with modern software engineering practice: CI/CD, code review discipline, test strategy, observability, incremental modernizationPreferredHands-on experience in Azure cloud environments, including Azure Functions and Azure-based data platform servicesExperience with Microsoft Fabric for data pipelines and transformation, including Fabric-based ETL/FTP integration patternsFamiliarity 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 toolsExperience with Snowflake and modern cloud data warehousingExperience with Power BI or comparable analytics platformsExperience in automotive finance, lending, or risk management...