Jobgether · US
Principal Engineer, Data Platform, US-based, to shape a cloud-native data ecosystem for a distributed microservices platform. The role leads the data-layer transition to cell-based architecture and large-scale live data migrations, and builds self-service storage tooling for product teams. Stack includes MongoDB, ClickHouse, Redis, PostgreSQL, AWS managed data services, and Kubernetes.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Engineer, Data Platform based in the United States.
As Principal Engineer, Data Platform, you will shape the technical direction and build the capabilities behind a large-scale, cloud-native data ecosystem supporting a distributed microservices platform. You will play a pivotal role in the transition toward a cell-based architecture, enabling reliable data movement, isolation, and scalability across regions and geographies. Working across a diverse range of storage technologies, you will create shared platforms, tooling, and standards that empower engineering teams to manage their own data infrastructure. A major focus will be designing and delivering large-scale migrations with minimal downtime and strong safeguards. You will champion a managed-first approach while ensuring the reliability and performance of both managed and self-operated systems. This is a hands-on technical leadership position combining architecture, implementation, cross-functional influence, and mentorship.
How Jobgether works:
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
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