Role Summary

The Senior Data Architect will be responsiblefor defining and driving the enterprise-wide data strategy ensuring that dataassets - both structured and unstructured - are leveraged effectively todeliver business value, regulatory compliance, and AI-driven insights. Thisrole requires a visionary leader who can architect, govern, and operationalizethe bank's data ecosystem across OLTP, OLAP, Big Data, Analytics, and AIplatforms, while ensuring enterprise scalability, security, and performance.

Key Responsibilities

1. Data Strategy

• Define andimplement the enterprise data strategy aligned with business goals andregulatory requirements.

• Establishenterprise-wide data governance, stewardship, and metadata managementpractices.

• Definepolicies for data quality, lineage, and lifecycle management across corebanking, lending, payments, and digital channels.

• Createframeworks to quickly derive business value from data through standardized dataproducts, reusable pipelines, and analytics models.

2. DataArchitecture Design

• Architectend-to-end data ecosystems covering OLTP (transactional systems), OLAP (datawarehouses), and Big Data / Data Lake platforms.

• Lead thedesign of enterprise data models, semantic layers, and reference architecturesfor analytics, AI, and reporting use cases.

• Define dataintegration and interoperability patterns across on-premise and cloudenvironments.

• Establishframeworks for real-time and batch processing pipelines supporting bothstructured and unstructured data.

3. Data Modelling& Taxonomy

• Design andmaintain logical, physical, and canonical data models supporting core banking.

• Define theEnterprise Data Taxonomy and Ontology, covering structured (relational) andunstructured (documents, images, multimedia) data.

• Establishmetadata and taxonomy frameworks for document management and contentclassification across the enterprise.

4. StakeholderCollaboration

• Partner withbusiness, compliance, and IT stakeholders to align data initiatives withstrategic goals.

• Collaboratewith domain architects, solution architects, and application owners to ensuredata consistency and traceability across systems.

• Provideexecutive-level communication on data maturity, architecture roadmaps, andtransformation 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 relationaland 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 ComputerScience, Information Systems, or related field
• Advanced degree (MBA or M.Tech) preferred