Role Summary:

To lead a vibrant data team that is creating & maintaining re-usable data pipelines using Databricks, PySpark & GCP. The role will involve managing the work end to end, interaction and co-ordination with multiple stakeholders including US counterparts & other vendor team members.

Essential Responsibilities
Lead the overall data engineering lifecycle including proof of concepts, architecture, design, development, test, deployment and maintenance of data pipeline and solutions
Establish and implement standardized guidelines for ETL and data architecture, ensuring consistency and efficiency
Guide team to create frameworks that guarantee data quality, handle errors effectively, provide audit controls, and offer reusable transformation structures
Lead team to apply a comprehensive, enterprise-wide approach to building data models and data management strategies, ensuring seamless integration across upstream and downstream applications
Transform business requirements into creative and practical data solutions that address constraints and optimize processes.




Effectively communicate with business users, US team, architects, data analysts, and other teams to ensure data solutions meet their needs and align with overall objectives.
Lead and mentor multiple data engineering teams to achieve project objectives & deliverables
Manage day to day operation and ensure adherence to process, scope, quality and timelines
Participate in review of requirements, architecture & design
Highlight risks and concerns, work with US managers to establish alignment, contingency and mitigation plans as required
Constantly looking to identify impediments early, actively working to resolve those impediments, and escalate when needed
Track delivery statuses, project progress and take ownership of critical incidents till completion
Take ownership and accountability of critical projects (for work executed in India)
Publish regular status to leadership team hig

📌 Etl Technical Product Owner Chennai
🏢 enGen Global
📍 Chennai