Senior Consultant | Informatica IDMC | PAN India | Engineering | Data Modernization & Migration

Deloitte & Touche GmbH Wirtschaftsprüfungsgesellschaft

Gujarat

On-site

INR 1,600,000 - 2,600,000

Full time

4 days ago
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Job summary

Deloitte Touche Tohmatsu India LLP in Ahmedabad is seeking a Senior Consultant for Informatica IDMC-focused data modernization and migration. You will manage client relationships and oversee delivery of IDMC-based programs, aligning goals, timelines and budgets to drive value.

The role requires 5–8 years of hands-on IDMC/MDM experience, strong data integration skills, and the ability to work with business stakeholders to define requirements.

Qualifications

  • 5–8 years implementing Informatica MDM with architecture, data modelling, match & merge, data quality.
  • Experience engaging with business stakeholders to define MDM requirements.

Responsibilities

  • Design, develop, and implement end-to-end data integration solutions using Informatica IDMC services such as CDI, CAI, and CDQ.
  • Build and manage scalable ETL/ELT pipelines across cloud and on-premise systems.
  • Develop plex mappings, workflows, task flows, and transformations for enterprise data integration.
  • Enable real-time, batch, and API-driven integrations using REST/SOAP and event-based patterns.
  • Lead design and implementation of MDM solutions (Customer 360, Business 360, Reference 360) on IDMC.

Skills

Informatica IDMC
MDM
Data integration
ETL/ELT
Data quality
Architecture
Data modelling
Stakeholder management
Cloud platforms (AWS/Azure/GCP)
APIs/REST

Tools

ERwin
ER/Studio
IDQ
PowerCenter
IICS
AWS
Azure
GCP
REST

Job description

Job Title: Senior Consultant | Informatica IDMC | PAN India | Engineering | Data Modernization & Migration
  • Job requisition ID : 110770
  • Location: Ahmedabad
  • Entity: Deloitte Touche Tohmatsu India LLP
The Team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

You will responsible for managing client relationships and overseeing the successful delivery of programs or accounts.

This role serves as the primary point of contact between the organization and its clients, ensuring alignment of goals, timelines, budgets, and expected outcomes while driving client satisfaction and business growth.

Primary Skills: 5–8 years of experience implementing Informatica MDM solutions with expertise in architecture, data modeling, match & merge, data quality, integrations, performance optimization, and enterprise MDM delivery. Experience engaging with business stakeholders to define MDM requirements.

Good to Have: Experience in data modeling using ERwin or ER/Studio, IDQ, PowerCenter, Informatica Intelligent Cloud Services (IICS), Azure/AWS, APIs, and Agile delivery.

  • Design, develop, and implement end-to-end data integration solutions using Informatica IDMC services such as Cloud Data Integration (CDI), Cloud Application Integration (CAI), and Data Quality (CDQ)
  • Build and manage scalable ETL/ELT pipelines across cloud and on-premise systems
  • Develop plex mappings, workflows, task flows, and transformations for enterprise data integration
  • Enable real-time, batch, and API-driven integrations using REST/SOAP and event-based patterns
  • Define data integration architecture and enterprise data models, ensuring scalability and performance
  • Lead design and implementation of MDM solutions (Customer 360, Business 360, Reference 360) on IDMC
  • Establish best practices, frameworks, and reusable ponents for IDMC implementations
  • Drive cloud migration and modernization initiatives, including hybrid data integration strategies
  • Implement data governance frameworks, data quality rules, and validation processes across IDMC pipelines
  • Ensure Compliance with data security, privacy, and regulatory standards
  • Monitor and improve data accuracy, lineage, and metadata management
  • Optimize data workflows and pipelines for performance, scalability, and reliability
  • Troubleshoot plex data integration issues, production failures, and performance bottlenecks
  • Manage Secure Agents, runtime environments, and connectivity across hybrid ecosystems
  • Provide L2/L3 support and ensure adherence to SLAs for critical data systems
  • Integrate IDMC with enterprise systems such as SAP, Oracle, Salesforce, Snowflake, and data lakes
  • Develop API integrations, data ingestion pipelines, and syndication mechanisms
  • Work with cloud platforms (AWS/Azure/GCP) and modern data warehouses
  • Provide technical leadership, mentorship, and code reviews for junior engineers
  • Collaborate with business stakeholders, architects, and cross-functional teams to translate requirements into technical solution
  • Drive Agile delivery, SDLC processes, and documentation standards
  • CDI, CAI, CDQ, MDM SaaS (Business 360, Customer 360)
  • ETL/ELT development, data pipelines, and data modelling
  • SQL, APIs, and scripting (Python/Shell)
  • Cloud platforms: AWS, Azure, or GCP
  • Data governance, metadata, and data lineage concepts
  • CI/CD, version control (Git), and DevOps practices
  • 8+ years in Data Engineering / Integration / MDM
  • 4–6+ years of hands-on IDMC experience
  • Proven experience in enterprise-scale data integration and cloud transformation projects
  • Strong analytical and problem-solving ability
  • Excellent Communication and stakeholder management
  • Leadership and mentoring capabilities
Success Metrics
  • Informatica IDMC or MDM certifications
  • Experience in cloud migration programs or hybrid architectures
  • Exposure to real-time streaming or event-driven architectures
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