SonderMind is looking for a Data Engineering Manager to lead a team in designing, building, and maintaining scalable and robust real-time data pipelines to ensure data flows smoothly, remains consistent, and is available for insights, analytics, and product offerings, supporting the company's data-rich and data-centric approach to mental healthcare.
Requirements
- Strong understanding of SQL and data modeling (i.e. Kimbal, Inmon, and Data Vault 2.0, etc.)
- Strong technical understanding of data engineering
- Proven experience in building and maintaining modern scalable robust data architectures
- Deliver effective, efficient, and secure real-time data streaming to enable data science team
- Design and implement foundational data infrastructure for all company’s real-time data that can be accessed effectively
- Transform the data platform into a production grade platform building scalable data workflows and pipelines, focusing on reliability, performance, and maintainability
- Implement alerting and monitoring mechanisms to know status of data pipelines, with logging and reporting capabilities (observability & quality)
Responsibilities
- Lead and scale a team of data engineers responsible for delivering reliable, high-impact data infrastructure that powers applied science, analytics, machine learning, and product capabilities
- Drive the technical evolution of SonderMind’s data platform by modernizing legacy pipelines, improving system observability, and expanding our ability to process structured and unstructured data at scale
- Build and develop metrics around pipeline health, alerting, and monitoring systems with a key focus on improving operational resilience, reducing issue detection time, and enabling better downstream consumption of data
- Oversee incident management and data governance efforts, ensuring rapid response to outages and alignment with compliance and data governance standards
- Collaborate closely with Data Science, Analytics, DevOps, and Engineering partners to ensure seamless integration of data flows across the organization
- Help shape a roadmap for infrastructure maturity, capacity planning, and tech debt reduction that aligns with organizational priorities and platform strategy
- Design and implement de-identification pipelines
Other
- 8+ years of proven experience as a data engineer
- 3+ years in managing data engineering teams
- Strong management skills to win and lead the data engineering team
- Strong project management skills to define, scope and deliver business requirements on time
- Excellent communication skills to explain technical designs to non data engineers
