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.