Data Integration Engineer (Reltio MDM Configurator)

Analyze and resolve data quality, matching, survivorship, hierarchy, and relationship issues within Reltio.

Support data onboarding, migration, regression testing, reconciliation, and production support for Reltio implementations.

Maintain configuration documentation and partner with MDM architects/leads on design decisions.

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.

5+ years of experience in data engineering, data integration, ETL/ELT, or data pipeline development.

2+ years of hands-on experience with Reltio MDM configuration and/or Reltio integration.

Strong experience building pipelines to load data into Reltio and extract data from Reltio.

Strong SQL skills and experience working with relational databases and cloud data platforms.

Hands-on experience with Python for data processing, automation, API interaction, and operational scripting.

Experience with Snowflake, including data loading, transformation, validation, and downstream publishing patterns.

Experience with ETL/ELT tools such as dbt, Informatica, SSIS, Airflow, Matillion, Fivetran, or similar tools.

Strong understanding of MDM concepts including entity resolution, crosswalks, golden records, survivorship, match/merge, hierarchies, and data quality.

Ability to troubleshoot complex integration, data quality, and synchronization issues across multiple systems.

Experience working in Agile/Scrum delivery models and participating in design, testing, release, and production support activities.

Preferred Qualifications

Experience with life sciences, healthcare, HCP/HCO, customer, product, provider, or reference data domains.

Experience with Reltio APIs, REST services, JSON, event-driven integration, webhooks, and delta extraction patterns.

Experience with Snowflake, dbt, Git, CI/CD, and environment promotion/release management.

Exposure to data governance, data catalog, lineage, metadata management, and enterprise data quality frameworks.

Experience supporting production MDM operations, issue triage, monitoring, and managed services handoffs.

Reltio certification or prior participation in successful Reltio implementation programs.

What Success Looks Like

Reliable and repeatable data pipelines are established for Reltio inbound loads and outbound mastered-data extracts.

Reltio configuration changes are implemented in a controlled, documented, and testable manner.

Data issues are identified early through profiling, validation, reconciliation, and automated quality checks.

Downstream consumers have timely and trusted access to Reltio mastered data in Snowflake and related platforms.

The team has clear documentation, support procedures, and reusable integration patterns for future MDM implementations.