Principal Engineer, Data Platform

Location: Remote - United States

Base compensation: $246,000–$339,000 USD per year; performance-based bonus, equity, and benefits may also be offered.

Company

AlphaSense provides an AI-powered market intelligence and workflow orchestration platform for business and finance, combining domain-specific AI with more than 500 million business documents.

What you will do

• Set the architecture and roadmap for the Data Platform and its storage ecosystem.
• Build tooling for large-scale data migrations across cells, regions, and geographies, including moving, splitting, validating, and rolling back data with minimal downtime.
• Enable product teams to provision, operate, and scale storage through self-service capabilities, shared libraries, and standards.
• Drive data-layer changes for cell-based architecture, including data placement, tenant routing, replication, and isolation.
• Apply a managed-first approach, close scalability gaps across deployment models, and own platform reliability and scalability.
• Partner with Cloud Platform, SRE, and DevEx teams; influence architecture, mentor Staff and Senior engineers, and apply AI tooling to query reviews and incident diagnosis.

Requirements

• Deep hands-on experience designing and operating data platforms and storage systems at production scale, including systems such as MongoDB, ClickHouse, Redis, or PostgreSQL.
• Experience with cloud-native data storage and managed data services on AWS.
• Strong experience with Kubernetes and containers.
• Track record of designing and running large-scale, including live, data migrations.
• Experience with cell-based, multi-tenant, or multi-region architectures.
• Experience building platforms and tooling for other engineers, with ownership of the storage systems being built and operated.
• Ability to land significant changes in code owned by other teams and identify data scalability and reliability limits before incidents occur.
• Ability and desire to design, lead, influence, and deliver ambitious technical roadmaps.

Nice to have

• Experience running storage systems on Kubernetes.
• Experience building control planes with Crossplane.
• Experience with private, isolated, on-premises, or air-gapped deployments.

Culture & Benefits

• Teams run what they build and own their storage, supported by platform standards and tooling.
• Managed services are preferred where appropriate; self-managed systems are used when there is a clear reason.
• Performance-based bonus, equity, and a benefits program may be offered.
• AlphaSense supports an equal-opportunity work environment and provides reasonable accommodation where required by applicable law.