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, setting 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

📌 Informatica IDMC Data & Integration Architect (Hyderabad)
🏢 ZoomInData
📍 Hyderabad