Job
Description – Senior Data Architect
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.
2.
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.
3.
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.
4.
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
