Director, Client Data Engineering
at Abacusinsights
Pune, India, hybrid, director, full time, 7+ years
posted 07 Jul 2026
- Power BI
- PySpark
- GitHub
- Tableau
- SQL
- DevOps
- Snowflake
- CI/CD
- Databricks
- ETL
- AWS
- GitLab
- Python
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.
What you would do
- 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.
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