Responsibilities

• Architect and own the foundational, MECE core model layer in dbt that the rest of the team builds on top of
• Define and evangelize the modeling standards the team builds by, including naming, testing, documentation, and where business logic lives
• Own the paid-media attribution model end to end, keeping it accurate and cleanly separated across business units so nothing double-counts
• Prevent data leaks and pipeline breakage, catching coverage gaps before they surface late and erode trust in the numbers
• Set and execute the team's AI strategy across reporting and data-QA automation, agentic and LLM-driven workflows, and self-serve knowledge tools
• Coach the team on building and managing AI agents so an AI-driven way of working becomes standard practice
• Partner with the central Data team on changes that touch upstream sources, and support the MarTech hire on the data behind the stack
• Scale the model layer cleanly as new business units and geographies come online

Requirements

• 6+ years in analytics engineering or data, including a track record of leading the design of a data-model layer
• Deep, hands-on dbt and data-modeling expertise, with experience building a foundational or shared layer that other people built on top of
• Demonstrated ability to build with AI, not just use it, such as automated QA/reporting agents, LLM-driven workflows, or internal knowledge tooling
• Expert SQL and experience with large, complex datasets and modern data stacks such as BigQuery, Snowflake, Fivetran, or Paradime
• Strong grasp of marketing measurement, including attribution logic and metrics like CAC, LTV, and ROAS, with the instinct to keep them MECE
• Excellent communication and the ability to set standards others want to follow
• Comfort operating in a fast-moving, ambiguous, and scaling environment

Preferred

• Marketing mix modeling (MMM), incrementality, and geo-testing experience
• Background in fintech, trading, or high-growth consumer tech
• Experience setting technical standards for or mentoring other analysts or engineers
• Proficiency with BI tooling, Looker preferred

Benefits

• Generous PTO
• 7 Paid Holidays Annually + 5 Conditional Holidays Annually
• 1 Service Day Annually
• 401k with 3.5% Company Match
• Paid Parental Bonding Leave
• Health, Vision, Dental Coverage
• Life and Disability Insurance Covered 100% by NinjaTrader