Staff Data Platform Engineer

Lead a team of engineers to deliver data platform initiatives end to end

Own data architecture across OLTP, OLAP, and NoSQL stores (Aurora PostgreSQL, Redshift, MongoDB)

Design and operate distributed real-time and batch pipelines in Python and PySpark (Kafka, Kinesis, SNS/SQS)

Lead entity resolution and MDM architecture for provider data

Build and own data products with clear contracts, SLAs, and consumers

Be accountable for data reliability, freshness, quality, and cost, with the observability to prove it

Drive performance and scale work: profile, benchmark, and re-architect as volume grows

Build the data foundations for AI/ML workloads

Mentor engineers, raise the bar on design and code review, and partner with product, analytics, and ML

• Join the on-call rotation and turn incidents into systemic fixes