Staff Data Platform Engineer

About CertifyOSCertifyOS is building the data infrastructure that powers modern <healthcare.Today>, healthcare organizations rely on fragmented and outdated provider data. This creates unnecessary administrative work, regulatory risk, and higher costs across the system. We’re solving that problem.Our API-first platform automates provider licensing, enrollment, credentialing, and network monitoring by connecting directly to hundreds of primary data sources. We help healthcare organizations maintain accurate, compliant, and reliable provider networks at scale.Our vision is simple: One API. One provider ID. Frictionless provider data.We’re backed by leading investors and built by a team with deep experience in provider data systems. At CertifyOS, we value authenticity, accountability, collaboration, results, and openness to feedback. We’re building a high-ownership team focused on solving real infrastructure problems that impact millions of patients.About the RoleWe're hiring a Staff Data Platform Engineer to own the data platform that makes CertifyOS the source of truth for provider data. You'll set the architecture, lead a team of engineers to deliver it, and be accountable for the reliability, freshness, and cost of our data.What You’ll DoLead a team of engineers to deliver data platform initiatives end to endOwn 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 dataBuild and own data products with clear contracts, SLAs, and consumersBe accountable for data reliability, freshness, quality, and cost, with the observability to prove itDrive performance and scale work: profile, benchmark, and re-architect as volume growsBuild the data foundations for AI/ML workloadsMentor engineers, raise the bar on design and code review, and partner with product, analytics, and MLJoin the on-call rotation and turn incidents into systemic fixesWhat We’re Looking For10+ years building production data systems, including Staff or Tech Lead scopeLed a team of engineers to deliver complex data systemsExpert Python and production PySparkDeep distributed systems knowledge: consistency, partitioning, idempotency, backpressure, failure handlingSignificant entity resolution and MDM experience: matching, deduplication, survivorship, golden records at scaleBuilt and owned data products used by other teamsShipped measurable performance and scale improvementsExpertise across OLTP (Aurora, PostgreSQL, MySQL), OLAP (Redshift, Athena, Snowflake, ClickHouse), and NoSQL (MongoDB, DynamoDB, Cassandra)Stream processing and event-driven architecture (Kafka, Kinesis, SNS/SQS)Data observability in practice: quality checks, lineage, monitoring, alertingBuilt data platforms that serve ML workloadsInfluences technical direction across teams and communicates clearly with non-technical stakeholdersExperience handling sensitive data (PII/PHI)Fluent with AI-assisted development (Cursor, Claude Code, MCP)Nice to HaveChange Data Capture (CDC) patternsData mesh or data-platform-as-a-product approachesSchema registries or data catalogsOrchestration tools (AWS Glue, EMR, Managed Flink, Airflow/MWAA, dbt)Healthcare or other regulated environmentsTechnologies & ToolsOLTP: Aurora, RDS PostgreSQLOLAP: Redshift, AthenaNoSQL: MongoDB AtlasStreaming: Kafka (MSK), Kinesis, SNS/SQSPython and PySparkAWS, Docker, Kubernetes (EKS)GitHub ActionsSentry and data observability toolingCursor, Claude Code, CodexBenefits of Working at CertifyAt Certify, we’re building with intention and taking care of the people doing the work.Your well-being matters to us. We provide 100% coverage of health, dental, and vision insurance premiums for employees. Our US-based team benefits from unlimited PTO, with at least two weeks off each year to recharge. In India, employees are supported with health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women.We are an equal opportunity employer committed to building an inclusive environment where everyone feels valued and empowered to do their best work, and we welcome applicants from all backgrounds and experiences.If you require reasonable accommodations during the application process, please contact [email hidden] are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected.