Informatica IDMC Data & Integration Architect

Job Responsibilities

• Lead the architecture, design, and implementation of enterprise data integration and management solutions using Informatica IDMC across complex multi-cloud environments.
• Design scalable Cloud Data Integration (CDI) and ETL/ELT frameworks for batch, real-time, and event-driven data integration across enterprise applications and data platforms.
• Architect Cloud Data Quality (CDQ) solutions covering data profiling, validation, cleansing, standardization, matching, and continuous data-quality monitoring.
• Design and implement enterprise Data Governance, Data Catalog, Metadata Management, and Data Lineage frameworks to establish trusted and discoverable data assets.
• Lead Master Data Management (MDM) architecture, including master data models, matching and merging, survivorship rules, hierarchies, and data stewardship processes.
• Develop integration strategies connecting Snowflake, Databricks, relational databases, SaaS platforms, APIs, and on-premises systems using Informatica IDMC.
• Define reusable integration patterns, data models, mappings, workflows, transformation frameworks, and metadata-driven pipelines to improve development efficiency and maintainability.
• Architect and optimize multi-cloud data integration solutions across platforms such as AWS, Microsoft Azure, and Google Cloud.
• Leverage Informatica CLAIRE Copilot, GPT capabilities, and AI Agents to accelerate data integration, data quality, metadata management, and data governance processes.
• Establish enterprise standards for metadata, lineage, data quality, security, governance, and integration architecture, ensuring compliance with organizational and regulatory requirements.
• Design strategies for data migration and modernization, including migration from legacy ETL platforms to Informatica IDMC and cloud-native data platforms.
• Optimize integration pipelines for performance, scalability, reliability, and cost efficiency, while implementing appropriate monitoring, error handling, logging, and recovery mechanisms.
• Collaborate with enterprise architects, data engineers, data scientists, application teams, security teams, and business stakeholders to translate business requirements into scalable data architectures.
• Lead architecture reviews, technical POCs, solution evaluations, and integration strategy initiatives, providing recommendations on tools, patterns, and platform capabilities.
• Troubleshoot complex data integration, quality, lineage, metadata, MDM, and cloud connectivity issues, driving root-cause analysis and resolution.
• Establish CI/CD, deployment, environment management, and operational practices for Informatica IDMC solutions.
• Provide technical leadership and mentorship to data engineers and integration developers, ensuring adherence to architecture standards and Informatica best practices.Role & responsibilities

Preferred candidate profile

Perks and benefits