7+ years of hands-on experience in data platform engineering or related roles.
Advanced SQL and PostgreSQL expertise, including performance tuning and troubleshooting.
Strong Python skills for developing production-grade data pipelines.
Experience with distributed/cloud-managed databases and modern data integration patterns.
Ability to independently manage end-to-end technical delivery and solve complex issues.
Responsibilities
Design and optimize SingleStore and PostgreSQL schemas and SQL queries.
Build and maintain reliable data ingestion pipelines from various sources into SingleStore.
Lead migrations of applications and data workloads to SingleStore.
Create self-service onboarding capabilities, including APIs and automated provisioning.
Optimize cloud database costs through performance tuning and workload management.
Ensure production readiness and database reliability through monitoring and incident management.
Integrate data quality and governance into delivery workflows.
Benefits
Comprehensive benefits package including health and wellness programs.
Opportunities for professional development and training.
Flexible work arrangements to support work-life balance.
Performance bonuses based on individual and company success.
Full 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 object storage as an ingestion and staging layer.
Ability to own end-to-end technical delivery, collaborate with application teams and solve complex production issues independently.
We'd love if you had
Hands-on SingleStore (MemSQL) or SingleStore Helios experience, including pipelines, performance tuning and workload design.
Kafka or similar streaming platforms, infrastructure as code, CI/CD and API-driven platform automation.
Experience building self-service data platforms, data quality frameworks, metadata/catalog integrations and chargeback/showback reporting.
Experience with cloud FinOps, database migrations or financial-services enterprise data.
The base pay for this role is expected to be between $180,000 and $250,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.
