Senior Data Platform Engineer
· Own Production Platform: Run a near real-time streaming data platform, owning latency/throughput SLOs and on-call incident response.
· Build Streaming Pipelines: Extend pipelines ingesting CDC events from operational databases and SaaS sources.
· Transform with Flink: Use Java and Flink SQL to perform cross-stream joins and enrich data into canonical entities.
· Ensure PHI Governance: Implement classification, row/column controls, and access policies (e.g., ABAC) for sensitive data.
· Provision as Code: Define AWS infrastructure (MSK, Glue, S3) using CDK with CI/CD for all data pipelines.
· Partner Across Teams: Collaborate with upstream producers and downstream consumers on data contracts and access needs.
· Required Experience: 6+ years operating production data systems, with deep expertise in Apache Kafka and Kafka Connect.
· Required Experience: Production experience with a stateful stream processor in Java (Apache Flink strongly preferred).
· Required Experience: Expert-level SQL and Python, plus an AI-forward engineering mindset using agentic dev tools.
· Preferred Experience: Health insurance domain knowledge, including HIPAA and governing access to PHI.
