About the Role

The Director, Client Data Engineering is a pivotal leader within our TechOps / Technical Implementation organization, responsible for leading a globally distributed team of data engineering professionals. This role sits at the intersection of client delivery, technical execution, and people leadership, with a primary focus on driving successful client implementations and scaling high‑quality data engineering practices.

This is a hands‑on leadership role that combines technical depth with operational excellence. The director will guide feature delivery teams, partner closely with cross‑functional stakeholders, and ensure reliable execution across complex healthcare data use cases, including ETL workflows, data mapping, and clinical data integration.

Your day to day

• Lead Client Implementations: Oversee the end‑to‑end implementation of new clients, ensuring delivery is timely, high quality, and aligned to client expectations.
• Guide Data Engineering Execution: Provide technical leadership across ETL, data mapping, and data integration workflows, ensuring best practices and consistency.
• Optimize Interoperability Workflows: Partner with stakeholders to refine and improve CMS Interoperability and related implementation processes.
• Manage Global Teams: Collaborate closely with offshore and distributed teams to coordinate delivery, align priorities, and maintain operational rigor.
• Coach and Develop Talent: Mentor engineers and new hires, fostering a collaborative, performance‑driven team culture.
• Own Operational Execution: Support day‑to‑day delivery management, resource planning, and prioritization in partnership with delivery and product teams.
• Set and Track Performance Metrics: Establish clear success measures for the team; monitor progress and drive continuous improvement.
• Encourage Innovation: Promote thoughtful adoption of new tools, technologies, and approaches that improve scalability, quality, and efficiency.

What you bring to the team

• Data Engineering Experience: Minimum 7 years of experience in data engineering roles, including client‑facing implementations.
• Technical Leadership: Demonstrated experience leading and mentoring technical teams.
• ETL & Data Integration Expertise: Strong hands‑on experience designing and supporting ETL workflows and complex data integrations.
• Healthcare Domain Knowledge: Working knowledge of healthcare data environments and standards; experience handling clinical or claims‑related data.
• Programming & Analytics Skills: Proficiency with Python and PySpark for data processing and transformation.
• Advanced SQL: Strong ability to write, optimize, and manage complex queries across large datasets.
• Cloud & Data Platforms: Experience working with AWS‑based architectures; familiarity with Databricks and Snowflake.
• Version Control & Collaboration: Practical experience using GitHub or GitLab for code management and collaboration.
• Communication & Problem‑Solving: Clear communicator with a data‑driven approach to solving complex technical and operational challenges.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

What we would like to see, but not required

• Prior experience supporting healthcare analytics, payer systems, or healthcare operations.
• Exposure to machine learning concepts or data science workflows.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Experience applying DevOps or CI/CD practices in data engineering environments.

What you’ll get in return

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements

• Standard hours: 9 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: Your standard working hours will be nine (9) hours per day within the Company’s standard working hours. Specific working hours may vary based on business needs.