- Lead and oversee technical projects involving Google BigQuery, SQL, Python, Google Dataflow, and CA Erwin Data Modeler.

- Collaborate with cross-functional teams to gather requirements and architect robust technical solutions.

- Develop, implement, and maintain data models (business/conceptual, logical, and physical) for operational, real-time, and analytical use cases.

- Design and optimize ETL processes and data pipelines using Google Cloud Platform (GCP), ensuring data integrity, quality, and security.

- Utilize ERWin and IBM IDA tools for data modeling and database design, ensuring alignment with business objectives.

- Perform data profiling, analysis, and mapping across operational insights hubs, identifying and remediating data quality issues.

- Conduct code reviews, performance optimization, and troubleshooting for data systems and pipelines.

- Mentor and provide technical guidance to team members, fostering knowledge sharing and skill development.

- Develop technical roadmaps, establish operational plans, and implement new data management processes and standards.

- Collaborate with internal and external stakeholders to ensure timely delivery of high-quality solutions.

- Stay abreast of industry trends, best practices, and emerging technologies in data management and cloud analytics.