• We’re seeking an experienced Engineering Manager to lead our Data Engineering team. The team is responsible for the entire data platform: ingestion from our EHR and partner feeds, the Snowflake environment itself, orchestration and CI/CD, and the outbound integrations that deliver data to our partner and vendor systems
• Our analytics engineering team builds the reporting and analytics logic on top of it, and you’ll work closely with them
• The team’s output reaches almost every part of the business, including billing, clinical operations, patient communications, marketing, and our partner integrations
• You’ll be accountable for its reliability. Our data product manager brings forward the problems our stakeholders need solved, and you’ll partner with them to turn those into technical plans the team can execute
• We are hiring this role in advance of scaling up the team to help the company expand into new lines of business next year
• We pride ourselves on our strong management culture and talented engineering teams
• Lead and develop a team of engineers working on our foundational data processing platform
• Drive technical strategy and execution across our Snowflake platform, dbt project, our Python services on AWS (Lambda, ECS), and our Airflow orchestration layer
• Own the Snowflake environment: access and permissions, warehouse configuration, and cost management
• Own the reliability of these systems: on-call readiness, incident triage, and post-mortems, with escalation to engineering leadership
• Collaborate with product, business, and other engineering teams to create high impact solutions. Work closely with analytics engineering on schema and platform changes, and with our DevOps team on the cloud infrastructure and deployment pipelines the platform depends on
• Establish robust engineering practices and technical standards across code review, testing, documentation, and CI/CD
• Set clear goals, prioritize effectively, and ensure timely delivery of high-quality solutions
• Mentor team members and foster their professional growth
• Contribute to Talkiatry’s engineering and management culture

Benefits

• 401(k) match with match
• Paid parental leave
• Health insurance 100% covered on day one
• Flexible location: Work remotely across the US or from our HQ in NYC
• Generous PTO plus paid holidays

• Excellent communication skills with both technical and non-technical stakeholders
• 2+ years of engineering management experience
• Experience applying CI/CD and automated testing to data pipelines
• Strong technical background with hands-on development experience with Snowflake, dbt, Python and SQL
• Comfortable running production services in a cloud environment, ideally AWS: containerized workloads and serverless functions
• 6+ years of data engineering experience
• Track record of delivering complex software projects on time
• Ability to balance business needs with technical excellence
• Experience owning production data systems: orchestration tooling such as Airflow, monitoring and alerting, and incident response
• Experience administering a cloud data warehouse, not only building in one: access control, cost management, and environment and release processes
• 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 (our DevOps team owns most of this)