Our client is a mission-driven consumer tech company and we have partnered with them on a search for a Senior Data Platform Engineer to help scale the infrastructure behind one of the largest health and wellness ecosystems in the U.S. In this high-impact role, you’ll architect data systems that support analytics, machine learning, and personalized user experiences across millions of users.
What You’ll Do
Build and maintain high-throughput, event-driven data pipelines using Python, Airflow, and Snowflake
Lead platform architecture efforts to scale data systems securely and reliably
Drive DataOps practices (CI/CD, testing, modeling) and improve platform observability
Collaborate cross-functionally to deliver secure, governed, and well-documented data services
Mentor engineers and align on resilient patterns and tooling
What You Bring
8–12 years of engineering experience, including 3+ in senior-level data platform roles
Deep hands-on experience with Snowflake, Airflow, and Python
Strong background in data infrastructure, orchestration, and secure system design
Familiarity with distributed systems, event-driven architecture, and observability tools
Bonus: experience with dbt, Kafka, modular data modeling, and CI enforcement
This is a fully remote, high-autonomy role with significant ownership and impact on the data platform powering a top health-tech brand.