Lead MDM Integrations

Job description:

We are looking for a Technical Subject Matter Expert (SME) for our Master Data Management (MDM) DevOps team to lead the design, development and support of Reltio-based solutions. In this role, you will act as the key technical authority for Reltio MDM and its integrations across the Azure stack, governing code quality and design reviews, guiding and mentoring developers and support analysts, and ensuring secure, compliant and reliable data and API flows to downstream systems. You will work closely with cross-functional teams in an Agile environment to resolve incidents and defects, deliver enhancements and drive continuous improvement.

Key responsibilities:

• Act as key Technical SME for MDM DevOps and cross-functional teams.
• Lead development and Reltio API integration across Reltio and Azure stack (Java/C#, Azure Functions, Service Bus, AKS, Kong APIs), ensuring robust data and API inbound and outbound flows to Reltio, Vault, and downstream systems.
• Ensure technical designs meet regulatory expectations and embed appropriate security and governance controls in the architecture.
• Build and enhance Java utilities for custom tasks such as data cleanup, DCR extract/response, bulk loads and batch processes for Reltio entities and relationships.
• Implement and maintain custom classes behind Reltio workflows (e.g. approval workflows, entity type checks, change validations), including BPMN-linked service tasks and user tasks.
• Contribute to microservices-based solutions (Java microservices on Azure Functions, ADF, Databricks) that interface with Reltio MDM and other systems.
• Experience with modern data/AI stack around Reltio (Azure Functions, ADF, Python/PySpark) and CI/CD practices for microservices.
• Approve source-code reviews and technical documents, confirming specifications are complete, defects resolved, programming standards followed, and Git/GitHub repository structure and practices are adhered to.
• Ensure secure coding practices in Java/C#/Azure solutions (encryption/decryption of credentials, OAuth token usage, remediation of security findings).
• Guide and mentor Reltio Sr. Developers and Support Analysts, allocating work, reviewing designs, and driving continuous improvement and enhancements.
• Oversee incident, defect, and change management related to Reltio, ensuring SLAs are met, root causes addressed, and changes follow SOPs for source code, change, and release management.

Required skills and experience:

• 5 to 8 years of professional experience.
• Experienced in architecture and design experience in Reltio MDM and REST APIs.
• Proven experience acting as Tech Lead or equivalent: governing code quality, design reviews, defect resolution, and technical sign-offs.
• Strong engineering background with experience in Reltio MDM (configuration, workflows, LCA components, UI, RDM, data validation, integration hub) and related microservices/integration patterns.
• Proficiency in designing and Reltio L3 configuration including data model, entity and relationship definition, crosswalks and source design strategies, survivorship strategies, match and merge concepts.
• Strong Java development skills with experience in microservices and Reltio MDM REST APIs (configuration, workflows, UI, RDM, security, LCA components).
• Design and implementation experience in Azure Functions using C# or Java to: ingest, transform and publish data to MDM platforms and downstream consumers; integrate with REST/Graph APIs, message queues, event hubs and storage accounts; orchestrate file transfers, scheduled jobs and real-time triggers from CRM, Reltio, OpenData.
• Agile/Scrum ways of working, story-point estimation and participation in backlog refinement, sprint planning, show-and-tell, and hyper care activities.
• Ability to troubleshoot production issues, and drive resolution of defects/incidents in Reltio and related integrations.

Preferred Skills:

• Capability to build production-grade LLM applications using Azure services and microservice patterns.
• Capability to build GenAI/agentic solutions on Azure AI Agent Service or similar, integrating LLMs (Azure OpenAI, GPT, Gemini) with enterprise data and workflows.
• Exposure to Azure AI Foundry and MCP/Kong patterns for agent orchestration.