Technical Lead Manager - Data Platform

Twin Health 

At Twin Health, we empower people to reverse, prevent and improve chronic metabolic diseases. Twin Health invented The Whole Body Digital Twin™ , a dynamic representation of each individual’s unique metabolism, built from thousands of data points collected daily via non-invasive sensors and self-reported preferences. The Whole Body Digital Twin delivers a new standard of care, empowering physicians and patients to make personalized data-driven decisions. 

Working here  

Our team is passionate, talented, and driven by our purpose to improve the health and happiness of our members. Our culture empowers each Twin to do what’s needed to create impact for our members, partners, and our company, and enjoy their experience at work. Twin Health was awarded Innovator of the Year by Employer Health Innovation Roundtable (EHIR) (out of 358 companies), named to the 2021 CB Insights Digital Health 150, and recognized by Built In's 2022 Best Places To Work Awards. Twin Health has the backing of leading venture capital funds including ICONIQ Growth, Sequoia, and Sofina, enabling us to scale services in the U.S. and globally and help solve the global chronic metabolic disease health crisis. We have recently announced broad and growing partnerships with premier employers, such as Blackstone and Berkshire Hathaway. We are building the company you always wished you worked for. Join us in revolutionizing healthcare and building the most impactful digital health company in the world!

Excited to join us and do your part in improving people’s health and happiness?

Opportunity 

Join an innovative team at the intersection of healthcare and advanced technology. As the Technical Lead Manager of the Data Platform team, you will have the unique opportunity to lead, design, and develop the next-generation data store and data pipeline at Twin, driving the foundation for our data-driven AI products and scaling our growing business. You’ll manage a team of software engineers and collaborate with teams of passionate engineers, data analysts, and AI experts who are committed to innovation, scalability, and excellence.

Responsibilities 

• Own, maintain, and evolve the company-wide data lakehouse and ELT data pipelines with Snowflake, ensuring scalability, performance, reliability, and cost effectiveness.
• Operate the current architecture with high reliability while designing, implementing, and evolving the next-generation data platform to improve scalability, performance, and privacy.
• Lead the Data Platform team, drive architecture decisions, and execute projects to successfully deliver outcomes with your team.
• Collaborate cross-functionally with Platform Engineering, Infra, AI, Analytics, Product, and Finance teams to define and execute data-driven initiatives and strategies.
• Support essential operational requests while driving automation, monitoring, and self-service solutions to eliminate toil and enhance team productivity.
• Manage, mentor, and grow a team of data engineers, fostering technical excellence, career development, continuous learning, and ownership.
• Clearly understand business problems, prioritize projects and tasks based on business impact and urgency, and drive high-impact data initiatives with the team, ensuring timely execution and delivery.
• Additional duties as assigned

Qualifications

• 5+ years of experience in data engineering, including at least 1+ years of technical leadership.
• Strong expertise in modern data architectures, including cloud-based data warehouses (Snowflake, BigQuery, Redshift, or Databricks) and ELT data pipelines.
• Proficiency in SQL, Python, and distributed data processing frameworks (Snowflake, Spark, Flink, or similar).
• Experience with orchestration tools (Airflow, Databricks, or similar) and data pipeline automation.
• Deep understanding of data modeling, schema design, and data governance best practices.
• Proven ability to build, lead, and mentor high-performing and high-impact engineering teams.
• Strong stakeholder management skills with the ability to communicate technical concepts to non-technical audiences, align team planning with business priorities, and filter requests to ensure focus on high-impact work.
• Passion for mentoring and growing engineers while maintaining a hands-on technical role.
• This remote opportunity is available to US based persons. 

Preferred Qualifications

• Experience with AI/ML pipelines is a plus.
• Hands-on experience with dbt (data build tool).
• Good understanding of cloud infrastructure (AWS, Azure), Kubernetes, and version control systems (Git).
• Experience working in fast-pace