Senior Data Engineer, Data Products

In this role, you will

• Architect complex, high-volume data pipelines for production use.

• Design and implement scalable data models serving multiple product and internal teams.

• Own data quality frameworks and standards across key data products.

• Build reusable patterns for transformations and metrics to drive efficiency.

• Define and maintain core business metrics and Key Performance Indicators (KPIs) in partnership with Analytics.

• Own the data products used across the company, ensuring reliability and performance.

• Set and promote standards for data modeling and pipeline development.

• Partner closely with Analytics, Data Science, and Machine Learning teams on requirements to reduce friction and accelerate their work.

• Mentor engineers and actively participate in the hiring process.

Qualifications

• 5+ years of experience in data engineering with a proven track record of successful data product development and oversight.

• Expert SQL and strong Python programming skills.

• Deep expertise in dbt or similar transformation frameworks.

• Strong data modeling experience across dimensional, activity schema, and similar patterns.

• Hands-on experience with data quality frameworks and performance tuning of data processes.

• Experience implementing both batch and streaming data processing patterns.

• Strong product thinking and stakeholder management skills.

• Excellent communication and collaboration skills to work effectively across teams.