Senior MDM Data Engineer

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 communication with technical and business stakeholders

Ability to work in global, cross-functional teams

Strong ownership and accountability

Preferred Experience

Experience in 2–3 end-to-end Reltio MDM implementations

Experience in regulated Pharma/Life Sciences environments

Exposure to large-scale MDM transformations

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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