Senior Data Analytics Engineer

Ecosystem Ownership & Strategy:

• Own the entire data ecosystem, building and maintaining robust pipelines and ETL processes with full responsibility for health and cost.
• Design and manage data warehouses to support advanced analytics, creating 'Gold Standard' data models for easy stakeholder self-service.

Engineering & Execution:

• Design and manage data lakes, warehouses, and databases to support advanced analytics and AI workflows.
• Act as a SQL/Python expert to optimize data pipelines and troubleshoot issues proactively, ensuring efficient and scalable queries.

Analytics Translation & Collaboration:

• Collaborate with cross-functional product, engineering teams, and customers to translate vague business goals into precise technical requirements.
• Create data models that specifically enhance Analytics and AI/ML projects, supporting the business's strategic initiatives.