Data Engineering Manager

The Manager of Data Engineering is the technical lead and people manager for BSF's Data Engineering function: the team responsible for building and maintaining the pipelines, architecture and infrastructure that power BSF's data platform. This is a hands-on role: roughly half of this role's time is spent as a working Data Engineer, in the code alongside the team, and half is spent leading, coaching and removing blockers for that team.

This role sits at the foundation of everything BSF's data function delivers in partnership with the Data Solutions Manager. Data isn't just an analytics input — it's the backbone of the company, running through everything from the warehouse floor to the executive dashboard. The Manager of Data Engineering is accountable for that foundation: the analytics team's trusted insights depend on it and so does every operational system built on the same data.

The Manager reports to the VP of Data & Analytics and operates as a key technical partner in delivering BSF's Unified Data Platform, including the Master Data Management initiative that is a top priority for the data function right now.

The Manager of Data Engineering brings the team, the delivery discipline and the hands-on build to ensure data.

The Manager leads a team of two Data Engineers and is accountable for their output, development and day-to-day direction. The Manager's job is to give them direction, remove blockers, raise the bar on engineering standards and ensure their work connects directly to what the business needs.

• Architect and build data pipelines that ingest, transform and deliver data from BSF's core systems including Net Suite, WMS and manufacturing platforms
• Contribute production-quality code directly in Python, SQL and Spark within the Azure/Databricks environment: this role is expected to be in the build alongside the team, not above it
• Own technical execution on a meaningful share of the data engineering backlog, not just review and delegate
• Participate in code reviews as both reviewer and contributor
• Stay current in the Azure and Databricks ecosystem: evaluate new capabilities and bring forward recommendations that improve the platform

• Partner with the Data Solutions Manager and VP of Data & Analytics on the Data Engineering architecture for BSF's Unified Data Platform: bringing forward design recommendations that are scalable, maintainable and appropriate for BSF's stage of data maturity
• Lead the technical execution of the MDM initiative: a top priority for the data function right now
• Establish and enforce engineering standards including pipeline reliability, documentation, testing and code review practices

• Lead, coach and develop a team of data engineers
• Know each person's technical strengths, growth edges and what they need to do their best work
• Create an environment where technical questions are welcomed, knowledge is shared and no one person is a single point of failure
• Give feedback directly and in the moment: on code quality, technical decisions and professional growth
• Partner with the VP of Data & Analytics to assess team capability honestly and make recommendations about structure, capacity and development needs
• Own hiring, performance management and day-to-day people leadership for the data engineering team

• Lead and be accountable for the data engineering workstream of the MDM/UDP project: maintaining a clear delivery plan, tracking progress and surfacing risks early
• Ensure Net Suite data ingestion, BSF's most complex and critical data source, is complete, reliable and well-documented
• Drive the platform toward production…