Principal Data Platform Engineer - Remote + Equity

Jobgether; United States; Remote; USD 246,000 - 339,000; Full time

Benefits offered by this job

Equity opportunities

Bonus potential

Generous benefits program

Remote position in the United States

Job summary

Jobgether, listing on behalf of a partner company, seeks a Principal Engineer, Data Platform in the United States. You will shape the technical direction for a cloud-native data ecosystem, enabling scalable data movement across regions and enabling product teams with self-service storage capabilities.

This hands-on leadership role emphasizes architecture, implementation, and mentoring Staff and Senior Engineers while applying AI-driven tooling to improve reliability and performance in a

Qualifications

• Extensive hands-on experience designing, building, and operating data platforms and large-scale storage systems.
• Proven production experience with MongoDB, ClickHouse, Redis, and PostgreSQL.
• Strong understanding of cloud-native data storage, including managed data services on AWS.
• Advanced experience with Kubernetes, containers, and distributed systems.
• Demonstrated success designing and executing large-scale data migrations, particularly live migrations.
• Experience with cell-based, multi-tenant, or multi-region architectures.
• Background building internal platforms and developer tooling used by other engineering teams.
• Comfort with an engineering model in which teams own and operate the systems they build.
• Proven ability to deliver significant technical changes across codebases owned by other teams.
• Strong ability to anticipate data scalability and reliability constraints and address them proactively.
• Excellent technical leadership, communication, and collaboration skills, with the ability to influence stakeholders and drive ambitious technical roadmaps.

Responsibilities

• Define the architecture, technical standards, and long-term roadmap for the Data Platform and its storage ecosystem.
• Design and build capabilities for large-scale data migrations across cells, regions, and geographies, including tools for moving, splitting, validating, and rolling back data with minimal downtime.
• Develop self-service platforms, shared libraries, and tooling that allow product teams to provision, operate, and scale their own storage systems.
• Lead data-layer changes required by the cell-based architecture, including data placement, tenant routing, replication, and isolation.
• Establish and implement a managed-first strategy, selecting managed services where appropriate and operating self-managed systems when there is a clear technical need.
• Identify and address scalability, performance, and reliability limitations across data stores, regions, cells, and deployment models before they become incidents.
• Partner closely with Cloud Platform, Site Reliability Engineering (SRE), and Developer Experience (DevEx) teams to deliver reliable platform capabilities.
• Influence architectural decisions across the organization, raise engineering standards, and mentor Staff and Senior Engineers.
• Apply AI-powered tools to platform engineering workflows, including slow-query analysis and incident diagnosis.

Skills

Data platform design

Kubernetes

Distributed systems

Cloud-native storage

Data migrations

Leadership

Telemetry/observability

Mentoring

Cross-team collaboration

AI tooling

Tools

MongoDB

ClickHouse

Redis

PostgreSQL

Kubernetes

Job description

Jobgether, listing on behalf of a partner company, seeks a Principal Engineer, Data Platform in the United States. You will shape the technical direction for a cloud-native data ecosystem, enabling scalable data movement across regions and enabling product teams with self-service storage capabilities.

This hands-on leadership role emphasizes architecture, implementation, and mentoring Staff and Senior Engineers while applying AI-driven tooling to improve reliability and performance in a