Job Description

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.