Original listing text, shown exactly as published by the company.
Who you are
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.
Experience we're seeking
- 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
Bonus points for
- 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
You'll love this role if you want to
- 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
