Senior Data Platform Engineer, Reltio MDM - Finance
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Job Description
Senior Data Platform Engineer specializing in Reltio MDM solutions for a leading financial services company. Responsible for designing and implementing enterprise-level data management infrastructures.
Responsibilities:
- Expert Reltio MDM Platform (PRIMARY FOCUS)
- Architect and implement enterprise Reltio MDM solutions including data matching, merging, and survivorship rules for complex customer data scenarios
- Design and configure Reltio data models including parties, relationships, hierarchies to support business requirements across CRM, CDP, and transactional systems
- Lead Reltio security and governance including role-based access control (RBAC), data masking, row-level security, and compliance frameworks
- Build Reltio integration patterns with external systems using APIs, webhooks, and event streaming for real-time data synchronization
- Optimize Reltio performance through query tuning, caching strategies, and architecture best practices
- Develop data governance frameworks including validation rules, data quality metrics, and audit trails for master data management
- Architect, develop, and maintain production-grade Python applications for MDM operations using Object-Oriented Programming and design patterns
- Build Python-based data pipelines that feed, validate, and manage data flowing into/out of Reltio
- Develop custom Reltio integrations and utilities using Python SDKs and REST APIs
- Implement data quality frameworks and validation engines for master data management
Requirements:
- Reltio MDM Experience (REQUIRED)
- 2+ years of hands-on Reltio MDM platform experience in production environments
- Deep expertise in Reltio matching rules, survivorship rules, and data governance configurations
- Proven ability to design and implement complex Reltio solutions for enterprise data management
- 5+ years of software development experience with 4+ years of production Python development
- Expert-level Python skills, including OOP, design patterns, and enterprise-scale development
- 3+ years of hands-on AWS experience with data-focused services (Lambda, Glue, Step Functions, Kinesis, EventBridge)
- Deep understanding of data engineering, ETL/ELT patterns, and modern data architecture
Benefits:
- 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
- Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
- Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
- Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
- Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
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