Principal Engineer, Data Platform

AlphaSense

. Help set the architecture and roadmap for the Data Platform and its storage ecosystem .

Posted 10/30/2026full-timeRemote • United StatesLead💰 $246,000 - $339,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating data platforms and storage systems, with a strong focus on cloud-native solutions and large-scale data migrations. Proven ability to mentor engineers and drive architectural improvements while ensuring scalability and reliability across multi-tenant and multi-region architectures.

Highest-signal resume keywords

Data Platform ArchitectureLarge-Scale Data MigrationsCloud-Native Data StorageKubernetes ExperienceMulti-Tenant Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Platform DesignStorage Systems OperationMongoDBClickHouseRedisPostgreSQLKubernetesData MigrationSelf-Service Tools DevelopmentAI Tooling Application

Soft Skills

MentoringInfluencingCollaborationLeadership

Tools & Technologies

AWSCrossplaneContainers

Industry Keywords

Cloud-NativeMulti-Region ArchitectureCell-Based ArchitectureData ScalabilityData Reliability

Tech Stack

Tools & technologies

AWSCloudKubernetesMongoDBPostgresRedis

About the role

Key responsibilities & impact

Help set the architecture and roadmap for the Data Platform and its storage ecosystem
Build capabilities for large-scale data migrations across cells, regions, and geographies
Develop tooling to move, split, validate, and roll back data with minimal downtime
Enable product teams to provision, operate, and scale their own storage through self-service tools
Drive data-layer changes for cell-based architecture, including data placement, tenant routing, replication, and isolation
Define and apply a managed-first approach to data services
Identify and close scalability gaps in data stores across regions, cells, and deployment models
Build shared libraries providing self-service storage capabilities
Partner closely with Cloud Platform, SRE, and DevEx teams
Raise the architectural bar and mentor Staff and Senior engineers
Apply AI tooling to data platform work, including slow query reviews and incident diagnosis

Requirements

What you’ll need

Deep hands-on experience designing and operating data platforms and storage systems
Production large-scale experience with storages such as MongoDB, ClickHouse, Redis, and 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 used by other engineers
Comfort with engineers owning their storage and running what they build
Demonstrated ability to land significant changes in code owned by other teams
Record of identifying data scalability and reliability limits before incidents occur
Ability and desire to design, lead, influence, and deliver ambitious technical roadmaps
Experience running storage systems on Kubernetes (nice to have)
Experience building control planes with Crossplane (nice to have)
Experience with private, isolated, on-premises, or air-gapped deployments (nice to have)

Benefits

Comp & perks

Performance-based bonus
Equity
Generous benefits program
Equal-opportunity employment
Reasonable accommodation for qualified employees with protected disabilities