Staff Reltio Data Engineer

Responsibilities

• Lead the 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 capabilities across multiple business data domains.
• Develop and maintain integrations between Reltio and internal and external systems using REST APIs and other relevant integration technologies.
• Design scalable data ingestion, transformation, and synchronization processes to ensure data accuracy and consistency.
• Establish and maintain data governance, stewardship, data quality, and monitoring practices.
• Troubleshoot complex data and integration issues and continuously improve platform performance and reliability.
• Collaborate with business stakeholders, data architects, and engineering teams to translate business requirements into effective 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.

Languages

Nice to have

• 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.
• 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.
• Boost Your
• Initial Interview: If your background fits the role, we’ll invite you for an interview with a Talent Acquisition Specialist.