Data Engineering Manager

Team Velocity is seeking a Data Engineering Manager to lead the design, development, and optimization of our data infrastructure across Snowflake and Microsoft SQL Server environments. This role reports to the VP of Engineering and blends technical leadership with project planning, architecture, and day-to-day management of engineering tasks in Jira.

The ideal candidate is a technically strong, detail-oriented leader who enjoys mentoring engineers, improving system reliability and scalability, and collaborating across teams to evolve Team Velocity’s data ecosystem that powers analytics, AI, and marketing systems for hundreds of automotive clients.

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S. Eastern or Central time zones highly preferred, but all welcome to apply who can support 8:30AM-5:30PM (EST) business hours.

Responsibilities

• Lead and mentor a team of data engineers responsible for building, optimizing, and maintaining scalable data pipelines and warehouse solutions in Snowflake and Microsoft SQL Server
• Conduct code reviews and enforce engineering best practices for maintainability, security, and performance
• Manage data-engineering projects and sprints in Jira, including backlog grooming, sprint planning, and progress tracking
• Oversee capacity planning, resource allocation, and delivery timelines to ensure alignment with business priorities
• Collaborate with architecture and DevOps teams to design and document data system architectures, schemas, and integration patterns
• Drive cross-team collaboration with analytics, AI, and application development groups to ensure data availability, quality, and scalability
• Develop and maintain comprehensive documentation for data flows, ETL processes, and architecture diagrams
• Support initiatives focused on data quality, observability, and governance (GDPR, SOC2, CASL compliance)
• Contribute to the evolution of Team Velocity’s Composable CDP and AI-driven marketing data stack

Required Skills & Experience

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
• 7+ years of professional experience in data engineering, including 2+ years in a leadership or management capacity
• Hands-on experience with Snowflake (warehousing, partitioning, Snowpipe, Snowpark, etc.) and Microsoft SQL Server (T-SQL, stored procedures, query optimization)
• Strong understanding of modern data architectures, event ingestion, ETL/ELT frameworks, and data modeling
• Experience with data orchestration and transformation tools such as SSIS, Matillion ETL, or similar
• Proficiency with Jira for project management, sprint tracking, and agile delivery workflows
• Solid knowledge of version control systems (Git/GitHub) and CI/CD pipelines for data workflows
• Excellent written and verbal communication skills, including documentation and technical presentation
• Proven ability to lead cross-functional initia