Description
We are seeking a skilled **Reltio MDM Developer** with 5-8 **years of experience** in Master Data Management (MDM) to design, develop, and implement scalable MDM solutions on the **Reltio platform** . The ideal candidate will have strong expertise in **Reltio configuration, Lifecycle Actions (LCA), RIH, Python-based development, and API integrations** , along with domain experience in **Pharma/Life Sciences**
**Roles & Responsibilities:**
+ Design and implement **Reltio MDM solutions** , including data models, entities, relationships, and hierarchies
+ Configure and develop **Lifecycle Actions (LCA)** for event-driven data processing and business workflows
+ Develop **Python based custom logic/services** to support Reltio integrations and extensions
+ Implement and manage **match/merge rules and survivorship strategies** for golden record creation
+ Build and maintain **real-time and batch integrations** using **REST APIs, messaging, and file-based approaches**
+ Work with **RIH** (Reltio Integration Hub) and **Databricks with Python script** frameworks for data ingestion and data publishing.
+ Configure and manage **crosswalks, reference data, and group attributes**
+ Develop and enforce **data quality rules, validation, and enrichment processes**
+ Collaborate with data engineering, analytics, and business teams for seamless data consumption
+ Support **data governance and stewardship workflows** , including DCR lifecycle
+ Ensure **data lineage, traceability, and compliance** across MDM processes
+ Troubleshoot and optimize performance of Reltio implementations
+ Data published multiple downstream systems, need to coordinate with consuming systems for any issue.
**Functional Skills:**
**Must-Have Skills:**
+ Strong hands-on experience with **Reltio MDM platform**
+ Deep expertise in **Lifecycle Actions (LCA)** development and event handling in Reltio
+ Strong programming skills in **Python** (for custom logic, APIs, and integrations)
+ Proficiency in **SQL & PySpark** (advanced querying, data validation, performance tuning)
+ Good experience in **Python** for data processing and automation
+ Good experience in JASON scripting for L3 changes.
+ Strong experience in **API integrations (REST/SOAP)** and microservices architecture
+ Expertise in:
+ Match/Merge and survivorship rules
+ Data modeling (entities, relationships, hierarchies)
+ Crosswalks, reference data, and golden record concepts
+ Experience with **batch and real-time data integration patterns**
+ Hands-on experience with **Unix/Linux environments**
+ Strong domain experience in **Pharma/Life Sciences** , including:
+ HCP/HCO mastering
+ Affiliations
+ Product Master / Material Master
+ Strong hands-on experience in **Databricks, performance tuning , SQL tuning**
+ Strong hands-on experience in Airflow and Gitlab
**Good-to-Have Skills:**
+ Experience with **PySpark, Databricks** , Databricks workflow and large-scale data processing
+ Experience with **AWS cloud services** (S3, Lambda, Glue, etc.)
+ Experience with **PostgreSQL or similar databases**
+ Exposure to **GenAI / MCP/AI-driven data use cases**
+ Experience with **Reltio Integration Hub (RIH)**
+ Familiarity with **Agile tools** (JIRA, Confluence)
**Education and Professional Certifications**
+ Master’s/Bachelor’s degree in computer science and engineering preferred, other Engineering field is considered with 5-8 years’ experience
+ AWS Certified Data Engineer preferred
+ Databricks Certificate preferred
+ Reltio MDM Certification
+ Data Engineering / SQL Certifications
**Soft Skills**
+ Strong analytical and problem-solving skills
+ Excellent communication with technical and business stakeholders
+ Ability to work in global, cross-functional teams
+ Strong ownership and accountability
**Preferred Experience**
+ Experience in **end-to-end Reltio MDM implementations & Operations**
+ Experience in **regulated Pharma/Life Sciences environments**
+ Exposure to **large-scale MDM transformations**
