Description

Key Skills: Azure, Databricks, Cloudera, Hadoop, Spark, Data Architecture, Financial Services, Data Governance, Informatica EDC, Enterprise Architecture

Good to Have Skills: Experience with Synapse, Event Hub, Hive, Iceberg, Delta Lake, cloud-native catalog tools, Qlik, Power BI, API design, semantic layer development, metadata-driven ingestion, data quality frameworks, SCD processing, data security, lineage automation, access matrices, data cataloging workflows, Treasury domain, Wealth Management, Corporate Banking, Risk & Compliance experience.

Roles & Responsibilities:

• Design end-to-end Technical Reference Architectures across hybrid cloud and big data platforms to deliver scalable, reusable Data Products optimized for high-velocity business consumption.
• Blueprint reusable, scalable enterprise data frameworks covering Metadata-Driven Ingestion, Data Quality, SCD processing, and robust data security.
• Define data access patterns and mapping specifications for the Semantic Layer to feed downstream analytical tools and API endpoints.
• Review, validate, and sign off on Conceptual, Logical, and Common Information Models, providing architectural guidance to Data Modelers as required.
• Collaborate with Enterprise Architecture and IT Security working groups to design Target Operating Models that embed automated lineage, access matrices, and data cataloging workflows.
• Drive modern data architecture strategy for financial services clients bridging complex business landscapes with cloud data architectures.
• Own the structural blueprint of data ecosystems including data lakes, curated data warehouses, and data product platforms ensuring technical scalability and performance.

Experience Required: 10-12 years of experience with deep architectural experience across multiple banking and financial services domains. Must have proven track record of handling financial data flows, multi-source system integrations, and bank-grade data security requirements

Key Skills

Education

Any Graduate