ETL Technical Product Owner / Manager

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 maintece 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 highlighting risks issues among other things
- Other duties as assigned or requested approximately 50% technical and 50% management

The experience we are looking to add to our team Required
- 10 to 14 years of overall experience with majority of them in Data engineering
- Experience managing complex data projects and programs involving data engineering, ingestion, transformation, aggregation, modeling and storage
- Experience in managing enterprise grade ETL/ELT solutions using Pyspark / GCP DataProc / Databricks etc.
- Experience building, mentoring, and managing high performing teams spread across multiple geographical locations
- Strong customer focus, communication, collaboration and problem-solving skills
- Excellent communication, confidence attitude
- Experience in big data technologies (HDFS, Spark, Pyspark, Databricks etc)
- Experience in leading a team and delivering complex projects involving creation and maintece of data pipelines

Positive to have
- Google Cloud knowledge / experience
- Knowledge on tools like Iceberg, DBT, Starburst
- Agile experience
- Healthcare experience

📌 Advisor - Technical Product Manager (Tamil Nadu)
🏢 enGen Global
📍 Tamil Nadu