Manager, Data Engineering

Responsibilities

• Manage a team by hiring and onboarding talent, setting clear expectations, conducting formal performance reviews, and coaching accountability.
• Lead the team to deliver on the enterprise data platform roadmap by translating architecture direction into sequenced execution plans, team backlogs, and measurable outcomes.
• Create a strong engineering culture across the team by setting standards for maintainability, organization, and repeatability; growing engineers via regular 1:1s, timely feedback, development plans, and formal review cycles.
• Own day-to-day execution for the Data Engineering team by breaking work into tasks, driving sprint-level planning, delegating effectively, unblocking delivery, and ensuring high-quality outcomes through engineering reviews.
• Drive implementation of the Medallion architecture (Bronze → Silver → Gold) with strong enforcement of layer responsibilities, leveraging Boomi, dbt, Azure Databricks, Rivery, Delta tables, and SQL Server.
• Partner closely with the Data Architect to bring the architecture to life through concrete implementation patterns and guardrails.
• Establish DataOps practices aligned with modern SDLC: CI/CD for data assets, consistent branching/release patterns, code review standards, and runbooks.
• Improve pipeline observability and operational reliability by implementing monitoring for freshness/staleness, failure modes, and quality signals.
• Drive stakeholder partnership and intake stream: collaborate with business partners to clarify requirements and shape requests into deliverable work.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or relevant professional experience.
• 10+ years of relevant professional experience in software / data engineering, including building production data pipelines and data platforms.
• 2+ years of experience in lead capacity including team leadership, task breakdown, reviews, and cross-functional coordination.
• Experience directly managing a team, including hiring/interviewing and conducting formal performance reviews.
• Deep hands-on experience with Databricks (Spark), Boomi/Rivery, and Delta Lake patterns for scalable lakehouse processing.
• Strong experience with ETL/ELT design and implementation, including orchestration/ingestion into transformation workflows.
• Experience partnering with application and database teams to define efficient data access patterns for upstream SQL Server systems (read replicas, CDC, snapshot isolation).
• Demonstrated expertise implementing Medallion architecture with clear separation of concerns across Bronze/Silver/Gold.
• Strong understanding of ingestion/source variability (APIs, CDC-enabled databases, file drops).
• Track record of improving team maturity from reactive delivery to repeatable engineering execution.
• Experience working cross-functionally and promoting collaborative partnerships.
• Proven ability to communicate effectively to various audiences/levels.

Nice-to-Haves

• Experience working in a fully remote team.
• Thorough understanding of business operations and processes.
• Strong Microsoft suite experience, including Teams or similar web conferencing tools.

Compensation & Benefits

• Base salary: $140,000 - $185,000 annually.
• Fully remote with a monthly stipend to pay for office services and supplies.
• Medical (2 plan options), dental, and vision insurance.
• 401(k) with company match.
• Unlimited PTO.
• Paid parental leave.
• Monthly wellness stipend.
• Professional development budget.