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Informatica Dg Architect

Job in Dubai, Dubai, UAE/Dubai
Listing for: Tata Consultancy Services
Full Time position
Listed on 2026-05-11
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: INFORMATICA DG ARCHITECT

Job Description Required Technical Skill

  • Design end-to-end Informatica-based architecture covering:
  • ETL & Data Integration
  • Data Quality
  • Data Governance and metadata-driven frameworks
  • Define architecture standards, best practices, and reusable frameworks
    .
  • Ensure scalable, secure, and high-performing data solutions.
  • Lead design and implementation using Informatica Power Center / IICS for ETL and data integration.
  • Architect Informatica Data Quality (IDQ) solutions including profiling, cleansing, matching, and monitoring.
  • Design federated data access solutions using Informatica Data Virtualization (IDV).
  • Integrate governance capabilities such as metadata, lineage, business glossary, and stewardship workflows.
Data Governance & Quality
  • Define enterprise data quality rules
    , monitoring metrics, and remediation processes.
  • Enable data governance through metadata management, lineage, and impact analysis.
  • Work closely with business and compliance teams to support regulatory and audit requirements
    .
Technical Leadership
  • Guide development teams with design reviews, performance tuning, and troubleshooting.
  • Collaborate with data modelers, BI teams, and platform engineers.
  • Support migration, modernization, and cloud adoption initiatives.
  • Ensure alignment with enterprise security and data privacy standards.
Required

Skills & Qualifications Technical Skills
  • Strong expertise in Informatica
    :
  • ETL & Data Integration (Power Center / IICS)
  • Informatica Data Quality (IDQ)
  • Strong understanding of relational databases and SQL.
  • Experience with metadata management, data lineage, and impact analysis
    .
  • Knowledge of batch and near–real-time data processing architectures.
  • Exposure to cloud platforms (AWS/Azure/GCP) is a plus.
  • Strong understanding of data governance, data quality frameworks, and operating models.
  • Experience working in regulated environments.
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