About Persistent

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth.

We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report.

We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix Assessment 2026 and Software Product Engineering PEAK Matrix Assessment 2026.

About Position:

We are seeking an experienced MDM Lead Data Engineer to design, develop, and support Master Data Management (MDM) solutions across enterprise platforms. The ideal candidate will be responsible for implementing MDM frameworks, ensuring data quality, building integration pipelines, managing master data domains, and supporting data governance initiatives. This role requires strong technical expertise along with the ability to lead development activities and collaborate with business stakeholders.

- Role: MDM Lead Data Engineer
- Location: Bengaluru, Pune
- Experience: 8 to 12 Years
- Job Type: Full Time Employment

What You'll Do:

- Design and implement Master Data Management solutions for Customer, Product, Vendor, Material, and Reference Data domains.
- Configure and support MDM workflows, matching, merging, survivorship, and hierarchy management.
- Develop and maintain data models, business rules, and validation processes.
- Support data stewardship and governance processes.
- Design, develop, and maintain ETL/ELT pipelines for MDM data integration.
- Integrate MDM platforms with ERP, CRM, Data Warehouse, Data Lake, and downstream applications.
- Build scalable and reliable data ingestion, transformation,



and synchronization processes.
- Support batch and real-time data processing requirements.
- Implement data quality frameworks, cleansing, profiling, and validation processes.
- Define and monitor data quality KPIs and metrics.
- Support data governance initiatives, metadata management, and compliance requirements.
- Ensure data consistency, accuracy, and integrity across systems.
- Lead development activities and mentor junior data engineers.
- Collaborate with business users, data stewards, architects, and project stakeholders.
- Participate in requirement gathering, solution design, and architecture reviews.
- Support testing, deployment, and production issue resolution.

Expertise You'll Bring:

- 8 to 12 years of experience in Master Data Management, Data Engineering, and Enterprise Data Management.
- Hands-on expertise with leading MDM platforms such as Informatica MDM, Reltio, Semarchy, Profisee, IBM MDM, or equivalent enterprise MDM solutions.
- Strong understanding of Master Data Lifecycle Management across Customer, Product, Vendor, Material, and Reference Data domains.
- Experience designing and implementing MDM workflows, matching, merging, survivorship, hierarchy management, and data stewardship processes.
- Strong SQL skills and advanced database design, optimization, and integration expertise.
- Experience with ETL/ELT tools such as Informatica, Talend, SSIS, DataStage, or similar enterprise integration platforms.
- Strong understanding of data modeling, canonical models, reference data management, and enterprise information architecture.
- Experience implementing and supporting data quality frameworks, profiling, cleansing, validation, and monitoring processes.
- Deep understanding of data governance principles, metadata management, compliance, and master data controls.
- Proficiency in Python or Java for integration, automation, and data engineering activities.
- Experience with APIs, microservices, and enterprise data integration technologies.
- Hands-on experience integrating MDM solutions with ERP, CRM, Data Warehouse, Data Lake, and downstream applications.
- Experience working with Azure, AWS, or GCP cloud platforms.
- Familiarity with Databricks and Lakehouse architecture concepts.




- Experience with Azure Data Factory, AWS Glue, or similar cloud-native data integration services.
- Knowledge of Customer 360 and Product 360 implementations and enterprise master data initiatives.
- Familiarity with metadata management tools and enterprise catalog solutions.
- Experience with Agile delivery methodologies and Scrum-based development practices.
- Strong analytical thinking, troubleshooting, and problem-solving capabilities.
- Experience driving data quality initiatives and master data governance programs.
- Proven ability to independently lead MDM development workstreams and deliver enterprise-scale solutions.
- Experience mentoring junior engineers, conducting technical reviews, and promoting best practices.
- Strong stakeholder management and collaboration skills across business, architecture, governance, and engineering teams.
- Excellent verbal and written communication skills.
- Ability to contribute to solution design, estimation, technical proposals, and enterprise architecture discussions.
- Bachelor?s or Master?s degree in Computer Science, Information Technology, Engineering, or a related field.
- Strong commitment to data quality, governance, scalability, and delivery excellence.

Benefits:

- Competitive salary and benefits package
- Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
- Opportunity to work with cutting-edge technologies
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
- Annual health check-ups
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

- We support hybrid work and flexible schedule to fit diverse lifestyles.
- Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
- If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let's unleash your full potential at Persistent - persistent.com/careers

“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

📌 MDM Lead Data Engineer (Bengaluru)
🏢 Persistent
📍 Bengaluru