
Senior Engineering Manager
Posted 9 hours ago

Posted 9 hours ago
This is a fully remote position, open to applicants in United States.
• Lead and nurture a team of engineers focused on the foundational data processing platform.
• Spearhead technical strategy and execution utilizing Snowflake, dbt, Python services on AWS Lambda and ECS, and Airflow orchestration.
• Manage Snowflake access, permissions, warehouse configuration, and cost oversight.
• Ensure system reliability, which includes on-call readiness, incident triage, conducting post-mortems, and escalating issues to engineering leadership.
• Collaborate with product, business, analytics engineering, DevOps, and other engineering teams to deliver high-impact solutions.
• Establish engineering benchmarks for code review, testing, documentation, and CI/CD practices.
• Set targets, prioritize tasks, and guarantee the timely delivery of top-notch solutions.
• Mentor team members and facilitate their professional development.
• Contribute positively to Talkiatry’s engineering and management culture.
• Assist in scaling the team as Talkiatry ventures into new business areas.
• Over 6 years of experience in data engineering.
• More than 2 years in an engineering management role.
• Practical experience with Snowflake, dbt, Python, and SQL.
• Experience in managing a cloud data warehouse, covering access control, cost management, and environment and release processes.
• Familiarity with operating production services in a cloud setting, preferably AWS, including containerized workloads and serverless functions.
• Proven experience managing production data systems, including Airflow, monitoring and alerting, and incident response.
• Experience implementing CI/CD and automated testing within data pipelines.
• Strong communication skills when engaging with both technical and non-technical stakeholders.
• A proven history of delivering complex software projects on schedule.
• Capability to balance business requirements with technical excellence.
• Experience with HIPAA-compliant data environments (preferred).
• Experience in building and maintaining third-party integrations and APIs (preferred).
• Working knowledge of dimensional modeling and the trade-offs in warehouse design (preferred).
• Experience streamlining fragmented scheduling into a single orchestration platform (preferred).
• Familiarity with Fivetran or similar ELT tools (preferred).
• Understanding of Terraform or other infrastructure as code practices (preferred).
• Authorization to work in the United States; visa sponsorship or transfer details will be addressed during the application process.
• Bonus.
• Medical insurance effective from the first day of employment.
• Dental insurance effective from the first day of employment.
• Vision insurance effective from the first day of employment.
• 401K with matching contributions.
• Generous Paid Time Off (PTO).
• Paid holidays.
• Paid parental leave.
• Opportunities for learning and professional development.
• Focus on team well-being.
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