Informatica Architect

Description

About The Role

Key Responsibilities

• Design end-to-end architectures for Informatica-based data integration, data quality, governance, and MDM solutions.
• Lead the implementation of ETL/ELT pipelines using Informatica PowerCenter / IICS / IDQ / MDM (as applicable).
• Define data integration frameworks, reusable components, mappings, workflows, and data models.
• Establish data quality rules, cleansing strategies, standardization patterns, and golden record frameworks.
• Architect integration of Informatica solutions with cloud platforms (AWS/Azure/GCP) and enterprise systems.
• Collaborate with data architects, analysts, and business teams to translate requirements into scalable designs.
• Ensure governance, metadata management, master data strategies, and data stewardship processes.
• Perform performance tuning, optimization, and troubleshooting for Informatica jobs and cloud pipelines.
• Lead technical teams, conduct reviews, and mentor Skills & Experience :
• 10-15 years experience in data integration, data management, or data engineering.
• 5+ years in an architectural or technical leadership role using Informatica platforms.
• Deep expertise with Informatica PowerCenter, IICS, IDQ, and/or MDM.
• Strong understanding of data modeling, data governance, data quality frameworks, and MDM principles.
• Hands-on experience with SQL, relational databases, APIs, and integration patterns (batch, real-time).
• Experience integrating Informatica with cloud ecosystems (Azure/AWS/GCP).
• Strong problem-solving, communication, and stakeholder management skills.
  

Preferred Qualifications

• Expertise in Informatica MDM (P360, Customer 360, Supplier 360).
• Experience with cloud data platforms like Snowflake, Databricks, Redshift, Synapse.
• Informatica certifications (IICS, MDM, Data Quality).
• Experience with DevOps, CI/CD, and automation using Git, Jenkins, Terraform.
  

What We Offer

• Opportunity to architect enterprise-scale data platforms.
• Collaborative environment with modern data technologies.
• Competitive compensation and professional development support.