Data Platform Engineer: Scale, Migrate & Self-Service

AlphaSense; United States; On-site; USD 246,000 - 339,000; Full time

Job summary

AlphaSense runs a large-scale, Kubernetes-native data platform serving the Fortune 500. You will help set the technical direction for the Data Platform, focusing on storage at scale, migrations, and multi-region deployments.

You will build tools and run what you build, ensuring reliability and scalability. Collaboration with cross-functional teams and mentoring engineers are core parts of the role in a fast-paced, security-conscious environment.

Qualifications

• Deep hands-on experience designing and operating data platforms and storage systems.
• Production large-scale experience with storages (e.g. MongoDB, ClickHouse, Redis, PostgreSQL).
• Cloud-native data storage experience, including managed data services on AWS.
• Strong background in Kubernetes and containers.
• Track record of designing and running large-scale data migrations, including live migrations.
• Experience with cell-based, multi-tenant or multi-region architectures.
• Experience building platforms and tooling that other engineers use, and comfort with a model where engineers own their storage and run what they build.
• Demonstrated ability to land significant changes in code owned by other teams.
• A record of spotting data scalability and reliability limits before they turn into incidents.
• Ability and desire to design, lead, influence, and deliver on ambitious technical roadmaps.

Responsibilities

• Help set the architecture and roadmap for the Data Platform and the storage ecosystem behind it
• Build the capabilities for large-scale data migrations across cells, regions, and geographies, including tooling for moving, splitting, validating, and rolling back data with minimal downtime
• Enable product teams self‑service ways to provision, operate, and scale their own storage
• Drive the data‑layer changes that cell‑based architecture requires, including data placement, tenant routing, replication, and isolation
• Define and apply the managed‑first approach: choose managed services where they fit, and build and run 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 give product teams self‑service storage capabilities
• Closely partner with Cloud Platform, SRE, and DevEx teams
• Raise the architectural bar across the organization and mentor Staff and Senior engineers
• Apply AI tooling to data platform work, such as slow query reviews and incident diagnosis

Skills

Kubernetes

Data platforms

Data migrations

Cloud storage

Tools

MongoDB

ClickHouse

Redis

PostgreSQL

Terraform

Kafka

Job description

AlphaSense runs a large-scale, Kubernetes-native data platform serving the Fortune 500. You will help set the technical direction for the Data Platform, focusing on storage at scale, migrations, and multi-region deployments.

You will build tools and run what you build, ensuring reliability and scalability. Collaboration with cross-functional teams and mentoring engineers are core parts of the role in a fast-paced, security-conscious environment.