Senior Data Platform Engineer

Job description

The Role We are seeking a hands-on Senior Data Platform Engineer to build and scale enterprise data services centered on SingleStore Helios and PostgreSQL. You will combine database architecture and production engineering with data pipeline development, data curation, platform migrations, self-service enablement and cost optimization. You will work with teams across regions to deliver reliable, well-governed data services. What you'll do Design, develop and optimize SingleStore and PostgreSQL schemas, SQL queries, physical data models, indexing and workload performance. Build and maintain reliable batch, streaming and CDC ingestion pipelines from relational databases, object storage and other enterprise sources into SingleStore; implement validation, transformation, enrichment and data curation. Lead technical assessments and migrations of existing applications and data workloads to SingleStore, while onboarding new teams, applications and services. Build reusable self-service onboarding capabilities, including APIs, configuration templates, automated provisioning, access requests, pipeline deployment and operational guardrails. Optimize cloud database spend through workload right-sizing, consolidation, scheduling and performance tuning; develop transparent SingleStore cluster, application and team-level cost allocation and showback. Own production readiness and database reliability: monitoring, incident triage, root-cause analysis, recoverability, deployment controls and collaboration with SingleStore Helios support. Integrate data quality, lineage, ownership and access controls into delivery workflows; work with the enterprise data catalog and governance teams. Create engineering standards, CI/CD pipelines, automated tests, documentation and cross-region handoffs that reduce manual operational work. What you'll bring What you need 7+ years of hands-on experience in data platform engineering, database engineering or closely related production data roles. Advanced SQL and PostgreSQL expertise, including query plans, schema design, performance tuning and operational troubleshooting. Strong Python and practical experience developing production-grade ingestion and transformation pipelines, with testing and observability. Experience with distributed or cloud-managed databases and modern data integration patterns, including batch and CDC; familiarity with cloud…