Senior MDM Data Engineer

Career Category Information Systems Job Description Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

Role Description: We are seeking a skilled Reltio MDM Developer with 8–10 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 Bachelor’s degree in computer science and engineering preferred, other Engineering field is considered; Master’s degree and 3+ years' experience Or Bachelor’s degree and 5+ years AWS Certified Data Engineer preferred Databricks Certificate preferred Reltio MDM Certification Data Engineering / SQL Certifications Soft Skills Strong analytical and problem-solving skills Excellent