Staff Data Infrastructure Engineer, Headway

• A technical leader who combines deep infrastructure expertise with the organizational instincts to drive alignment across teams. You thrive in ambiguity, operate with a high degree of ownership, and are as comfortable setting technical direction as you are building. You make other engineers better through code, architecture review, documentation, and mentorship
• 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 roadmaps for a data platform or infrastructure domain
• Deep expertise building full-stack data platforms: data warehousing, ingestion pipelines, orchestration, monitoring and alerting, CI/CD, developer tooling, cloud infrastructure, and third-party integrations
• Architectural fluency in warehouse design patterns, performance tuning, cost management, and permissions strategies on MPP analytics databases (Snowflake strongly preferred; Databricks, BigQuery, or Redshift also relevant)
• 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

Desirable

• The Data Platform team is a group of Data Engineers and Data Infrastructure Engineers who build and own our Snowflake data warehouse, data ingestion tooling, AWS infrastructure, CI/CD, and data developer experience
• As we scale, we're looking for a Staff Data Infrastructure Engineer to architect, lead, and evolve the foundational systems that power our entire data organization, including new AI-driven workflows being adopted by non-technical staff
• You'll serve as a technical anchor across our Data Analytics & Engineering, Product Engineering, and Machine Learning teams. This is not an analytics role
• Set technical direction for data infrastructure at a company redefining access to mental healthcare
• Serve as a force multiplier, making data engineers, analysts, and ML practitioners more effective through the systems and standards you put in place
• Own consequential architectural decisions from whiteboard to production
• Build in a fast-paced environment where we ship multiple times per day and measure impact quickly
• Help shape Headway's engineering culture, processes, and documentation with the same rigor we bring to our products