Enterprise Data Architect

Primary Responsibility:

A Enterprise Data Architect is a professional who develops, manages and maintains banks data architecture strategy and roadmap. He is a person who ensures common data and database architecture standards are followed across the organization. Enterprise Data Architect works across all the IT departments including data engineering, analytics, and client insights to design and implement standardized and consistent data architecture across OLAP and OLTP data areas.

1. Ensure data accuracy by analyzing current processes and developing future strategies to improve business efficiency.
2. Execute Database governance across the organization by closely working with DBA team
3. Design and implementation of Modern Data Warehouse using modern data architecture patterns like data mesh, medallion, and data fabric
4. Participate in weekly ARB (Architecture Governance Board) to review new applications data architecture and provide recommendations as per industry standards
5. Ability to guide senior management by recommending right tools and data platforms by considering technical, operational, and costing related parameters
6. Extensive knowledge and implementation experience of Google Cloud Data Platform using BigQuery, Dataflow, and related native GCP services
7. Nice to have knowledge of Azure Synapse and Databricks
8. Good skills on AI/ML and exposure to Gen AI
9. Good technical skills on OLTP databases like Oracle and SQL Server
10. Create and update data architecture, migration, and database standards SOPs and guidelines
11. Ability to collaborate with IT heads, CIO and other senior management people
12. Ability to participate in leadership meetings and presentation
13. Strong people management skills

Interested candidates can share thier resume @jaina.ruparel@wtgconsultants.in