About the role

Every board number, retail report, and marketing decision at Grüns runs through our data platform. As Director of Data Engineering, you will own that platform and lead the team that builds it. We moved fast to get here, and now we're building the foundation for an enterprise-level data function: cleaner models, less tech debt, and numbers everyone trusts.

This role is part of our remote HQ! We have a fully remote, high-trust work environment - and also come together on a biannual basis for amazing off-sites where we can connect IRL.

In this role, you will:

• Own the data roadmap and company data model, with a single source of truth for core business data
• Refactor legacy jobs and tech debt so the platform scales with the business
• Keep pipelines resilient so data stays available, accurate, and trusted across the company
• Manage warehouse and infrastructure cost as data volume grows
• Run our intake process and sprint cadence, prioritizing requests by business impact and staying flexible when priorities shift
• Lead and coach a small team through code reviews, feedback, and clear growth paths, and get hands-on when the work needs it
• Connect new enterprise systems, such as ERP, into the warehouse
• Make the team AI-native, using AI agents for development, incident investigation, and data quality

We're looking for someone who:

• Has 8+ years in data architecture or data engineering, including 3+ years leading teams
• Has built and scaled cloud data platforms (BigQuery or similar)
• Is strong in SQL, Python, and dbt or a similar modeling framework
• Has deep data modeling experience and starts from business concepts before tables
• Has built data quality, governance, and monitoring practices that teams trust
• Has run sprint-based intake and prioritization for a team serving many stakeholders
• Is comfortable with ELT tools like Fivetran, Orbitrail and enterprise systems (ERP experience is a plus)
• Comes from DTC or CPG (preferred)

Approach to the role:

• Starts with the business question, then picks the simplest technology that answers it
• Gets fundamentals right first: integrity, governance, observability
• Treats a trust problem in the data as urgent
• Prioritizes ruthlessly against their own time and everyone else's
• Stays in the weeds when needed while leading the team
• Coaches engineers to grow into senior contributors and managers
• Uses AI agents daily and teaches the team to do the same

Compensation & Benefits:

At Grüns, we're committed to providing a competitive total compensation package — grounded in market data that considers our size, stage, industry, and location. For this role, the base salary is $200,000 plus bonus + incentive compensation depending on experience, paired with a comprehensive benefits package designed to support the well-being and growth of our team.