Description

You will design and implement the enterprise-wide data strategy to support current and future business needs.

Responsibilities

• Design and document the holistic current and target state enterprise data architecture.
• Capture enterprise data models and align them with conceptual and logical models.
• Lead data architecture governance forums and provide technical oversight to solution architects.
• Manage the roadmap for architecture change initiatives and coordinate requirements across the bank.
• Drive innovation in Data, Analytics, and AI/ML areas through implementation.
• Build and maintain architecture artefacts including Entity Relationship Models, data dictionaries, and taxonomies.
• Develop performance measures for data integration and quality.

Required Skills

• 10+ years of experience architecting and implementing enterprise data warehouse, Master Data Management, data integration, BI, and analytics platforms.
• 5+ years of experience delivering information management solutions to large user bases.
• Expertise in data modelling including logical, physical, semantic, and integration models.
• Deep understanding of OLAP/OLTP principles, normalization, and entity relationship analysis.
• Proficiency with data transformation (ETL) and technologies like Azure Data Factory and Data Lake.
• Knowledge of cloud and on-prem data architecture best practices.
• Understanding of horizontal data lineage from source to output.
• Experience mapping enterprise data entities to business capabilities and applications.
• Strong knowledge of how Analytics and AI/ML solutions function.
• Degree level education or equivalent experience.

Key Skills

Education

Any Graduate