Senior Data Architect (DataLake)

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.

As a Data Architect, you will lead the architecture and data design work, working closely with Data Engineers, Business Analysts, BI teams, and client technology and business stakeholder in the Data Lake/Lakehouse implementation project.

• →Designing the target Lakehouse architecture and end-to-end data flows.
• →Defining data models, canonical structures and reusable data-product patterns.
• →Designing scalable and reusable batch, CDC and streaming ingestion patterns.
• →Establishing data architecture standards covering data quality, reconciliation, lineage, governance, security and access.
• →Assessing and aligning the solution with existing enterprise and regional architecture standards.
• →Supporting source-to-target mapping, data migration and integration design.
• →Providing technical leadership and guidance to Data Engineering teams throughout implementation.
• →Supporting solution design reviews, testing, production readiness and BAU handover.

• 6+ years of experience in data architecture, data engineering, or related roles.
• Strong expertise in Azure, Databricks, Delta Lake, data modelling, data architecture, data integration/ETL, data governance and cloud architecture.
• Experience designing enterprise data platforms and data products, particularly within financial services or Asset Management company, would be highly advantageous.
• Experience in end-to-end ownership of the data architecture and shape a modern, reusable data platform that can scale across multiple business use cases.

• Experience in Asset Management company, fintech, or other regulated industries.