- Design, build, and debug high-impact data pipelines between business systems like CRM, billing, and internal platforms and the Snowflake warehouse.
- Own the multi-year data strategy and architecture while maintaining hands-on involvement in systems and edge cases.
- Establish technical standards for data modeling, pipeline design, and data quality.
- Build, structure, and lead a growing team of 5+ across Data Engineering, ML Engineering, and Analytics.
- Manage headcount planning, hiring strategy, and department budget.
- Collaborate with executive leadership to translate business strategy into technical data contracts and platform investments.
- Champion AI and automation, ensuring LLM use cases are supported by a reliable, trusted data foundation.
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