Description

Design end-to-end technical reference architectures for scalable data products across hybrid cloud and big data platforms.

This role is on-site.

Responsibilities

• Blueprint reusable enterprise data frameworks covering metadata-driven ingestion, data quality, SCD processing, and data security.
• Define data access patterns and mapping specifications for the semantic layer to feed downstream analytical tools and API endpoints.
• Review and validate Conceptual, Logical, and Common Information Models, providing architectural guidance to Data Modelers.
• Collaborate with Enterprise Architecture and IT Security to design Target Operating Models embedding automated lineage and access matrices.
• Own the structural blueprint of data ecosystems including data lakes and curated warehouses ensuring technical scalability.

Required Skills

• 10+ years of experience with deep architectural expertise in banking and financial services domains.
• Proficiency in Azure, Databricks, Cloudera, Hadoop, and Spark.
• Strong background in Data Architecture and Informatica EDC.
• Experience with Enterprise Architecture and financial data flows.
• Proven track record handling multi-source system integrations and bank-grade data security.

Preferred Skills

• Experience with Synapse, Event Hub, Hive, Iceberg, and Delta Lake.
• Familiarity with cloud-native catalog tools, Qlik, Power BI, and API design.
• Knowledge of Treasury, Wealth Management, or Risk & Compliance domains.

Key Skills

Education

Any Graduate