Description

You will design and implement future-state enterprise data architectures focused on modernizing data integration and virtualization solutions.

Responsibilities

• Evaluate current architecture to recommend and implement modernization changes across ETL, ELT, and API/ESB patterns.
• Develop enterprise data management platforms, product roadmaps, and future-state architecture diagrams.
• Mitigate data quality issues using deep knowledge of data reconciliation, storage capacity planning, and lineage.
• Provide technical guidance to teams and service providers to ensure scalable data engineering and analysis capabilities.
• Lead migrations of logical data warehouses between technology stacks and participate in architectural review boards.

Required Skills

• 12-15 years of experience in data architecture and management.
• Expertise in Data Virtualization solutions.
• Proven experience in migrating logical DWH from one stack to another.
• Deep understanding of data lineage, reconciliation, and storage capacity planning.
• Ability to research, pilot, and implement tools to improve the solution development lifecycle.
• Experience evaluating COTS products and analytics solutions.
• Any Graduate degree.

Preferred Skills

• Knowledge of IBM stack, Teradata, SAP, or Oracle stacks.
• Experience with reporting tools including IBM Cognos, Tableau, or Power BI.
• Background in the BFSI domain.

Key Skills

Education

Any Graduate