Data Engineering Manager

The Data & Insights organization at Insight Global delivers Trusted Data & Verified Insights to drive strategic decision-making across the company. As the first Data Engineering Manager based in Hyderabad, India, you will play a foundational role in establishing and growing a high-performing offshore team. You will lead efforts to build and maintain the core data estate that powers Business Intelligence, Data Science, and Machine Learning use cases, while also overseeing platform operations and reliability.

Key Responsibilities

· Serve as the founding Data Engineering Manager in Hyderabad, responsible for building and scaling the offshore team.

· Lead and mentor a growing team of Data Engineers, fostering a culture of innovation, accountability, and continuous improvement.

· Oversee both development and operations of the data platform, including monitoring, bug fixing, and SLA adherence.

· Drive Agile/Scrum best practices, conduct regular 1:1s, team meetings, and performance reviews to support career development.

· Define team growth strategy, manage capacity planning, and participate in hiring and onboarding.

· Collaborate with cross-functional partners in Product Strategy, Delivery, QA, Architecture, SRE, and Program Management.

· Ensure data security and governance in partnership with Information Security and Data Governance teams.

· Champion Insight Global’s culture and shared values

Technical Focus

· Lead team responsible for initiatives to retire SQL Server data pipelines and implement a modern Databricks Medallion Lakehouse architecture

· Promote best practices in CI/CD, automated testing, and metadata management.

· Support batch and streaming data environments, ensuring high performance and reliability, and data quality.

· Own operational dashboards, pipeline health monitoring, and incident response processes.

Qualifications

· Bachelor’s degree in a technical field.

· 10+ years of experience in data engineering, analytics, or data science.

· 5+ years of experience managing data engineering teams.

· Strong expertise in SQL, Python (PySpark), Databricks, and Azure Data Factory.

· Proven ability to structure data for analytics and machine learning.

· Excellent communication and collaboration skills across business and technical teams.

· Experience with Unity Catalog and data governance frameworks is preferred.