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Talkiatry is seeking an experienced Engineering Manager to lead its Data Engineering team. The team owns the entire data platform, including ingestion from EHR and partner feeds, Snowflake environment management, orchestration and CI/CD, and outbound integrations to partner and vendor systems. The team's output reaches nearly every part of the business—billing, clinical operations, patient communications, marketing, and partner integrations—making reliability critical.
You will lead and develop a team of engineers, driving technical strategy and execution across Snowflake, dbt, Python services on AWS (Lambda, ECS), and Airflow orchestration. Key responsibilities include owning the Snowflake environment (access, permissions, warehouse configuration, cost management), ensuring system reliability through on-call readiness and incident response, and collaborating with product, business, and other engineering teams to deliver high-impact solutions. You'll work closely with the analytics engineering team on schema and platform changes, and with DevOps on cloud infrastructure and deployment pipelines.
Additionally, you will establish robust engineering practices and technical standards around code review, testing, documentation, and CI/CD; set clear goals and prioritize effectively to ensure timely delivery; mentor team members and foster their professional growth; and contribute to Talkiatry's engineering and management culture. The company is hiring this role in advance of scaling the team to support expansion into new lines of business.
Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and over two million patient visits delivered nationwide. The company was co-founded by a patient and a triple-board-certified psychiatrist to solve healthcare's urgent mental health access challenge.
REQUIREMENTS:
- 6+ years of data engineering experience
- 2+ years of engineering management experience
- Strong technical background with hands-on development experience in Snowflake, dbt, Python, and SQL
- Experience administering a cloud data warehouse (access control, cost management, environment and release processes)
- Comfortable running production services in a cloud environment, ideally AWS (containerized workloads and serverless functions)
- Experience owning production data systems: orchestration tooling (e.g., Airflow), monitoring and alerting, incident response
- Experience applying CI/CD and automated testing to data pipelines
- Excellent communication skills with technical and non-technical stakeholders
- Track record of delivering complex software projects on time
- Ability to balance business needs with technical excellence
NICE TO HAVE:
- Experience working with data in a HIPAA-compliant environment
- Experience building and maintaining integrations with third-party systems and APIs
- Working knowledge of dimensional modeling and warehouse design tradeoffs
- Experience consolidating fragmented scheduling onto a single orchestration platform
- Experience with Fivetran or similar ELT tooling
- Familiarity with Terraform or other infrastructure as code
