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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 youll architect data systems that support analytics machine learning and personalized user experiences across millions of users.
What Youll 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
812 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.
Required Experience:
Staff IC
Full-Time