Head of Data Platform Engineering

Socket.dev; Williamsburg (VA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive compensation

Equity

Full health/dental/vision

401(k) retirement

Flexible time off

Team events

Job summary

Pivotal Health is seeking a Head of Data Engineering to own the platform, architecture, and team driving our data infrastructure. The candidate will treat data infrastructure with the same rigour as core backend services, emphasizing CI/CD, maintainability, scalability, and code quality.

You will inherit an existing data foundation and lead its evolution into a modern, distributed, high-throughput platform, enabling ingestion, processing, storage, and consumption interfaces across the

Qualifications

• Strong software/data infrastructure background with leadership in evolving platforms.
• Minimum 10+ years in software/data infrastructure or related fields.
• Hands-on experience with modern data architectures and cloud-native patterns.
• Ability to own schemas and enable other teams to publish/consume data.
• Ability to review system design and balance speed with technical debt.

Responsibilities

• Evolve & Modernize Data Infrastructure using code-driven patterns and cloud-native tools.
• Build a Software-First Engineering Team of data-focused engineers.
• Provide infrastructure, streaming/batch frameworks, and APIs for product teams to own domain models.
• Own the Data Lifecycle across ingestion, processing, storage, and exposure.
• Promote software engineering best practices: testing, IaC, version control, observability.
• Implement security, access controls, and privacy guardrails for data.

Skills

Data infrastructure leadership

Distributed systems

Software engineering fundamentals

CI/CD & IaC

APIs for data publishing

Data governance

Tools

Container orchestration

Event streaming

Data pipelines

Lakehouse architecture

Job description

Pivotal Health is seeking a Head of Data Engineering to own the platform, architecture, and team driving our data infrastructure. The candidate will treat data infrastructure with the same rigour as core backend services, emphasizing CI/CD, maintainability, scalability, and code quality.

You will inherit an existing data foundation and lead its evolution into a modern, distributed, high-throughput platform, enabling ingestion, processing, storage, and consumption interfaces across the