Job Summary
The opportunity: We are seeking a highly skilled Lead Data Engineer / Data Architect with solid expertise in Informatica IICS, Informatica PowerCenter, Enterprise Data Warehousing, Master Data Management (MDM), and Wealth & Asset Management data platforms. The ideal candidate will lead enterprise-scale data integration, cloud modernisation, MDM, and AI-driven data transformation initiatives while collaborating closely with business and technology stakeholders.
Role: Data Engineer
Experience Guide: 6 to 15 years
Primary Skill Area: Data Architect
Skills and attributes for success
Must Have - Informatica IICS, Informatica PowerCenter, Data Warehouse Design & Development, Enterprise ETL Architecture, Data Modelling, SQL, MDM, Data Governance, Data Quality Frameworks, Wealth & Asset Management domain
Preferred - IBM DataStage, Cloud Platforms AWS / Azure, Snowflake, Databricks, Microsoft Fabric, AI/GenAI, LLM-based solutions, Data Lineage, Metadata Management, Regulatory Reporting and Risk Analytics
To qualify for the role, you must have
6 to 15 years of experience in Data Engineering, Data Integration, or Data Architecture.
Solid hands-on expertise in Informatica IICS and Informatica PowerCenter.
Proven experience designing and implementing Enterprise Data Warehouses.
Experience with MDM implementations and data governance initiatives.
Prior experience within Wealth & Asset Management, Investment Management, or Capital Markets is highly preferred.
Experience with cloud-based data platforms and up-to-date data ecosystems is desirable.
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
Ideally, you'll also have
Informatica IICS, Informatica PowerCenter, Data Warehouse, Data Modelling, MDM, Wealth Management, Asset Management, Security Master, Holdings, Trades, Settlements, Corporate Actions, Data Governance, ETL, SQL, Cloud Data Platforms, AI/GenAI.
What we look for
We look for professionals who combine strong hands-on delivery, architecture awareness, stakeholder collaboration, production ownership and a continuous learning mindset.
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