Staff Reltio Data Engineer

Accountabilities:: Lead the technical design, architecture, development, and implementation of enterprise Master Data Management solutions using the Reltio Connected Data Platform. Configure, manage, and optimize 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 or external enterprise systems using REST APIs and other relevant integration technologies. Architect scalable data ingestion, transformation, and synchronization processes to ensure data accuracy, consistency, and reliability. Establish and maintain effective data governance, data stewardship, data quality, and monitoring frameworks. Troubleshoot complex data management and integration challenges while continuously improving platform performance, scalability, and reliability. Collaborate with business stakeholders, data architects, and engineering teams to translate business needs into effective technical solutions. Define and promote technical standards and best practices for Reltio implementation, data modelling, integrations, testing, and deployment. Lead technical discussions, architecture reviews, and design sessions, providing guidance and recommendations to engineering teams and stakeholders. Mentor and support other engineers, encouraging knowledge sharing, technical development, and continuous improvement. Evaluate emerging technologies and platform capabilities to identify opportunities to enhance the MDM ecosystem and broader data architecture. Requirements: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline is preferred. At least 10 years of professional experience in data engineering, software engineering, or data architecture. Extensive hands-on experience with the Reltio Connected Data Platform, including implementation, configuration, customization, and ongoing platform development. Deep understanding of Master Data Management (MDM) principles, including golden records, entity resolution, match and merge processes, survivorship strategies, data domains, and reference data management. Proven experience designing and implementing Reltio data models, entity relationships, business rules, and data quality capabilities. Strong experience integrating Reltio with enterprise applications and data platforms through REST APIs and other integration technologies. Advanced SQL skills and proficiency in Python, Java, or comparable programming languages. Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP). Solid understanding of data architecture, data modelling, ETL/ELT processes, and distributed data platforms. Practical experience implementing data governance, data quality management, and data stewardship practices. Familiarity with CI/CD pipelines, automated testing frameworks, and software deployment processes. Proven ability to lead complex technical initiatives, influence architectural decisions, and collaborate effectively with cross-functional teams. Excellent communication, analytical, and problem-solving skills, combined with a strong sense of ownership and technical leadership. Nice to Have: Experience with additional MDM platforms such as Informatica, Profisee, or similar solutions. Familiarity with cloud-based data platforms, including Databricks, Snowflake, Azure Synapse, BigQuery, or Amazon Redshift. Knowledge of event-driven architectures and real-time data processing technologies such as Apache Kafka, Azure Event Hubs, or Amazon Kinesis. Experience with data governance and cataloguing solutions such as Microsoft Purview, Collibra, or Alation. Familiarity with AI/ML solutions, LLM-powered applications, and AI-assisted development tools. Previous experience in commercial real estate, fintech, or business operations and transaction-related systems. Demonstrated experience mentoring engineers and influencing technical direction across multiple teams. Benefits: 100% Remote Work: Work from anywhere, with a flexible remote-first model designed to support work-life balance and productivity. International Opportunities: Collaborate with talented professionals across Europe, Latin America, and other international locations. Exciting Projects: Contribute to challenging, high-impact data engineering initiatives across multiple industries. Professional Development: Access continuous learning opportunities, technical development, and hands-on experience with modern technologies. Career Growth: Opportunities to expand your technical expertise, take on leadership responsibilities, and advance your career. Collaborative Team Culture: Work alongside a diverse, multicultural team of passionate technology professionals and creative thinkers. Flexible Working Environment: Benefit from working arrangements that encourage autonomy, flexibility, and professional well-being.