Enterprise Data Architect (Leader/ Director)

Role Summary

The Senior Data Architect will be responsible for defining and driving the enterprise-wide data strategy ensuring that data assets both structured and unstructured are leveraged effectively to deliver business value, regulatory compliance, and AI-driven insights. This role requires a visionary leader who can architect, govern, and operationalize the bank's data ecosystem across OLTP, OLAP, Big Data, Analytics, and AI platforms, while ensuring enterprise scalability, security, and performance.

Key Responsibilities

1. Data Strategy

• Define and implement the enterprise data strategy aligned with business goals and regulatory requirements.
• Establish enterprise-wide data governance, stewardship, and metadata management practices.
• Define policies for data quality, lineage, and lifecycle management across core banking, lending, payments, and digital channels.
• Create frameworks to quickly derive business value from data through standardized data products, reusable pipelines, and analytics models.

1. Data Architecture Design

• Architect end-to-end data ecosystems covering OLTP (transactional systems), OLAP (data warehouses), and Big Data / Data Lake platforms.
• Lead the design of enterprise data models, semantic layers, and reference architectures for analytics, AI, and reporting use cases.
• Define data integration and interoperability patterns across on-premise and cloud environments.
• Establish frameworks for real-time and batch processing pipelines supporting both structured and unstructured data.

1. Data Modelling & Taxonomy

• Design and maintain logical, physical, and canonical data models supporting core banking.
• Define the Enterprise Data Taxonomy and Ontology, covering structured (relational) and unstructured (documents, images, multimedia) data.
• Establish metadata and taxonomy frameworks for document management and content classification across the enterprise.

1. Stakeholder Collaboration

• Partner with business, compliance, and IT stakeholders to align data initiatives with strategic goals.
• Collaborate with domain architects, solution architects, and application owners to ensure data consistency and traceability across systems.
• Provide executive-level communication on data maturity, architecture roadmaps, and transformation value.

Key Competencies

Enterprise Architecture: TOGAF-certified; experience defining enterprise data architecture blueprints

Data Platforms: OLTP, OLAP, Big Data, Data Lake, and Cloud-native ecosystems

Data Modelling: Conceptual, Logical, and Physical modelling for relational and NoSQL databases

Data Platform: Data Bricks

Information Management: Taxonomy, Ontology, Metadata, and MDM

Content Management: DMS/CMS design, AI-based document classification

Data Governance: Policies for quality, lineage, and compliance (GDPR, RBI, Basel)

Communication: Executive-level presentation and stakeholder engagement

Certifications

Mandatory:

TOGAF Certified Enterprise Architect

Preferred:

DAMA Certified Data Management Professional (CDMP)

Cloud Data Architect certifications (AWS/Azure/GCP)

AI/ML or Data Science certification from recognized institute

Educational Qualification

Bachelor's or Master's Degree in Computer Science, Information Systems, or related field

Advanced degree (MBA or M.Tech) preferred