Staff Data Infrastructure Engineer

Stack

Responsibilities

• ▹Define and continuously evolve the architecture of foundational systems serving the whole data organization
• ▹Act as a technical anchor across Data Analytics & Engineering, Product Engineering, and Machine Learning teams
• ▹Drive technical strategy and cross-functional alignment, defining the roadmap for the data platform/infrastructure domain
• ▹Own the Snowflake data warehouse, ingestion tooling, AWS infrastructure, CI/CD, and data developer experience
• ▹Support new AI-driven workflows being adopted by non-technical staff
• ▹Develop other engineers through code, architecture review, and documentation

Requirements

• ▹10+ years as a Data Platform Engineer, Software/Infrastructure Engineer specializing in data, or Data Engineer in a high-code, high-scale environment
• ▹Track record of driving technical strategy and cross-functional alignment, including defining data platform/infrastructure roadmaps
• ▹Deep expertise building full-stack data platforms: warehousing, ingestion pipelines, orchestration, monitoring/alerting, CI/CD, developer tooling, cloud infrastructure, third-party integrations
• ▹Architectural fluency in warehouse design patterns, performance tuning, cost management, and permissions strategies on MPP analytics databases (Snowflake strongly preferred)
• ▹Experience leading technical initiatives end-to-end across multiple teams and codifying engineering standards
• ▹Proficiency designing and operating cloud infrastructure at scale (AWS preferred) using infrastructure-as-code (Terraform, Pulumi, AWS CDK)
• ▹Strong Python engineering skills, solid SQL foundations, comfort with distributed systems
• ▹Experience maintaining and scaling pipeline orchestration infrastructure (Airflow/Astronomer preferred)
• ▹Mentorship track record growing junior and mid-level engineers

Nice to have

• ▹Agentic data engineering: automating data infrastructure tasks, auditing permissions, optimized CI
• ▹APM and observability tooling (Datadog, New Relic) and data quality/observability frameworks
• ▹ETL/ELT best practices at scale
• ▹Data security and compliance in regulated environments, especially PHI
• ▹Greenfield platform development in a high-growth startup
• ▹Docker, GitHub Actions, dbt, Spark
• ▹Build vs. buy decision-making and vendor evaluation

Soft skills

What we offer

• ▹Base pay range of $212,000–$265,000, plus potential equity grant
• ▹Medical, dental, and vision coverage
• ▹HSA/FSA
• ▹401(k)
• ▹Work-from-Home Stipend
• ▹Therapy reimbursement
• ▹16-week parental leave for eligible employees
• ▹Carrot Fertility annual reimbursement and membership
• ▹13 paid holidays each year plus a Holiday Break between December 25th and 31st
• ▹Flexible PTO
• ▹Employee Assistance Program (EAP)
• ▹Training and professional development

About the company

Headway's mission is to build a new mental healthcare system that everyone can access. It automated the hardest parts of insurance administration — credentialing, claims, payment reconciliation — and today over 75,000 providers run their practice on its software, serving more than 1 million patients. The Series D company has raised $325M+ from investors including a16z, Accel, and Spark Capital.