Staff Reltio Data Engineer

Opinov8

19h•Remote

About The Position

The Staff Reltio Data Engineer will lead the technical design, architecture, and implementation of enterprise master data management (MDM) solutions using the Reltio Connected Data Platform. The role includes configuring and maintaining Reltio data models, entity types, relationships, matching and merging rules, survivorship strategies, and data quality capabilities, as well as implementing golden record management and entity resolution across business data domains. The position develops integrations between Reltio and internal or external systems, and creates scalable ingestion, transformation, and synchronization processes. It also establishes data governance, stewardship, quality, and monitoring practices; resolves complex data and integration issues; and improves platform performance and reliability. Working with business stakeholders, data architects, and engineering teams, the Staff Reltio Data Engineer translates business needs into MDM solutions, defines technical standards and best practices, leads technical discussions and design reviews, and mentors other engineers. The role also evaluates technologies that could improve the MDM platform and broader data architecture.

Requirements

10+ years of experience in data engineering, software engineering, or data architecture.
Strong hands-on experience with the Reltio Connected Data Platform, including implementation, configuration, and ongoing platform development.
Deep understanding of MDM concepts, including golden records, entity resolution, match and merge, survivorship, data domains, and reference data management.
Experience designing and implementing Reltio data models, relationships, business rules, and data quality capabilities.
Strong experience integrating Reltio with enterprise applications and data platforms using REST APIs and other integration technologies.
Strong SQL skills and proficiency in Python, Java, or similar programming languages.
Experience with cloud platforms such as Azure, AWS, or GCP.
Understanding of data architecture, data modelling, ETL/ELT processes, and distributed data platforms.
Experience with data governance, data quality, and data stewardship practices.
Experience with CI/CD, automated testing, and deployment processes.
Ability to lead complex technical initiatives and work with cross-functional teams.
Strong communication, analytical, and problem-solving skills.

Nice To Haves

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
Experience with other MDM platforms such as Informatica, Profisee, or similar solutions.
Experience with cloud data platforms such as Databricks, Snowflake, Azure Synapse, BigQuery, or Redshift.
Knowledge of event-driven architectures and real-time data processing technologies such as Kafka, Event Hubs, or Kinesis.
Experience with data governance and cataloguing tools such as Microsoft Purview, Collibra, or Alation.
Familiarity with AI/ML solutions, LLM-powered applications, and AI-assisted development tools.
Experience with commercial real estate, fintech, or operations and transaction-related systems.
Experience mentoring engineers and influencing technical direction across teams.

Responsibilities

Lead technical design, architecture, and implementation of enterprise MDM solutions using the Reltio Connected Data Platform.
Configure and maintain Reltio data models, entity types, relationships, match and merge rules, survivorship strategies, and data quality rules.
Design and implement golden record management and entity resolution across multiple business data domains.
Develop and maintain integrations between Reltio and internal and external systems using REST APIs and other integration technologies.
Design scalable data ingestion, transformation, and synchronization processes to support data accuracy and consistency.
Establish and maintain data governance, stewardship, data quality, and monitoring practices.
Troubleshoot data and integration issues and improve platform performance and reliability.
Collaborate with business stakeholders, data architects, and engineering teams to translate business requirements into MDM solutions.
Define technical standards and best practices for Reltio implementation, data modelling, integration, testing, and deployment.
Lead technical discussions and design reviews, providing guidance to engineering teams and stakeholders.
Mentor and support engineers, promoting knowledge sharing and continuous improvement.
Evaluate technologies and capabilities that could enhance the MDM platform and overall data architecture.