Manager, Engineering (Data Platform)

What you will do

• Lead and manage the Data Platform Engineering team, owning the end-to-end design, implementation, and operational excellence of systems that process complex healthcare data
• Provide high-quality technical contributions and architectural guidance, establishing robust standards for data modeling, processing, and system maintainability
• Build and optimize common data abstractions, pipelines, and frameworks designed for high scalability, ensuring our platform keeps pace with exponential enterprise data growth
• Translate complex, ambiguous business and data requirements into well-scoped, accurately estimated, and composable architectural pieces
• Foster and drive an AI-native engineering culture within the team, integrating cutting-edge AI tools and integrations to enhance development workflows and automate data operations
• Manage and grow stakeholder relationships across Engineering and Product, aligning team priorities with departmental OKRs and broader business goals
• Mentor, coach, and guide your team members, conducting detailed design reviews and managing robust Root Cause Analyses (RCA) to continuously elevate technical rigor

The ideal candidate has

• 5+ years of hands-on engineering experience, with a focus on Big Data and distributed system and infrastructure
• 2+ years of managing engineering teams, with a track record of building and mentoring high performing teams
• Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc.
• Experience with stream processing systems such as Kafka and RedPanda
• Proficiency with technologies such as Temporal, Apache Iceberg, AWS Glue, Spark, DBT, and Soda
• Strong ownership and a proactive mindset, with a proven ability to translate complex business needs into scalable, actionable technical roadmaps
• Ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success
• Preference for managing healthcare data standards (e.g. HIPAA, EDI)
• A desire to be a part of our mission to improve the U.S. healthcare system
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies we use

Python, Spark, dbt, Snowflake, Iceberg, Airflow, OpenMetadata, Kubernetes, NATS, AWS, Terraform, Claude Code

Compensation & Benefits

Target salary range: $239,000 - $275,000. Individual compensation depends on qualifications, skills, and applicable laws. Eligible for equity incentive and competitive benefits including flexible PTO, Medical/Dental/Vision, 401(k), Teladoc Health, and more.