Principal Engineer, Data Platform
A
AlphaSenseAI market intelligence
Remote - United StatesFull-TimePrincipal
Salary$246,000 — $339,000 USD
Apply NowOpens the employer's application page
Job Details
- Required Skills
- PostgreSQLKubernetesMongoDBClickhouseRedis
Requirements
- Bring deep hands-on experience designing and operating data platforms and storage systems.
- Have production experience with storage systems at large scale, such as MongoDB, ClickHouse, Redis, or PostgreSQL.
- Have cloud-native data storage experience, including managed data services on AWS.
- Bring a strong background in Kubernetes and containers.
- Have designed and operated large-scale data migrations, including live migrations.
- Have experience with cell-based, multi-tenant, or multi-region architectures.
- Have built platforms and tooling used by other engineers and be comfortable with engineers owning and operating their storage.
- Demonstrate the ability to land significant changes in code owned by other teams.
- Have a record of identifying data scalability and reliability limits before they become incidents.
- Be able to design, lead, influence, and deliver ambitious technical roadmaps.
- Nice to have: experience running storage systems on Kubernetes, building control planes with Crossplane, or supporting private, isolated, on-premises, or air-gapped deployments.
Responsibilities
- Help set the architecture and roadmap for the Data Platform and storage ecosystem.
- Build tooling to move, split, validate, and roll back data across cells, regions, and geographies with minimal downtime.
- Enable product teams to provision, operate, and scale their own storage through self-service capabilities.
- Drive data-layer changes for cell-based architecture, including data placement, tenant routing, replication, and isolation.
- Choose managed services where appropriate and build and operate self-managed systems only where there is a clear reason.
- Find and close scalability gaps in data stores across regions, cells, and deployment models.
- Build shared libraries that provide product teams with self-service storage capabilities.
- Partner with Cloud Platform, SRE, and DevEx teams, and mentor Staff and Senior engineers.
- Apply AI tooling to data platform work, including slow query reviews and incident diagnosis.
View Full Description & ApplyYou'll be redirected to the employer's site
