Description

Design, implement, and manage the enterprise data management platform to support business intelligence, analytical, and reporting needs.

Responsibilities

• Create and implement short-term and long-term data strategy roadmaps, including Enterprise Data Warehouses, Data Marts, and Data Lakehouse architectures.
• Develop conceptual and logical data models and reference architecture blueprints for current and future states.
• Collaborate with ETL and reporting teams to implement data quality measures, profiling, and rule management.
• Partner with security and legal functions to establish standards for data classification, access management, and privacy controls.
• Manage information security through sensitivity analysis, encryption, and audit control systems.

Required Skills

• 10+ years of experience architecting on-prem and cloud-based enterprise data solutions.
• Expertise in delivering end-to-end data solutions involving Data Warehousing, Analytics, BI, Big Data, and Operational Data Stores.
• Proficiency in designing conceptual, logical, and physical data models for scalability and integrity.
• Deep knowledge of data governance frameworks and Enterprise Data Management (EDM) policies.
• Hands-on experience with IBM DataStage and MuleSoft.
• Proficiency with data visualization tools including Tableau, Cognos, and PowerBI.
• Experience optimizing Oracle database systems for performance.
• Technical knowledge of structured and unstructured data, including batch and real-time integrations.

Preferred Skills

• Experience with data integration and conversion scripting, programming, and workflow development.

Key Skills

Education

Any Graduate