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MDM","description":"<p><strong>Position Title:</strong> Engineer – Master Data Management&nbsp;</p><p><strong>Department:</strong> Data, Analytics &amp; AI&nbsp;</p><p><strong>Employment Type:</strong> Full-Time</p><p><strong>Position Overview:</strong></p><p>We are seeking an <strong>Engineer – Master Data Management (MDM)</strong> to play a critical role in designing, building, and operating enterprise master data solutions that power analytics, reporting, and downstream business processes. 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Platform Delivery:</strong></p><ul><li>Design, build, and maintain enterprise <strong>Master Data Management solutions</strong> using platforms such as Profisee.</li><li>Implement and manage master data domains, hierarchies, relationships, and survivorship rules.</li><li>Develop scalable integration patterns between MDM, source systems, and downstream consumers (Databricks, data warehouse, BI tools).</li><li>Ensure master data is consistently published, versioned, and consumed across the data ecosystem.</li></ul><p><strong>Data Quality, Governance &amp; Stewardship:</strong></p><ul><li>Partner with Data Governance and business data owners to implement data quality rules, validations, and stewardship workflows.</li><li>Enable metadata, lineage, and auditability for master data domains.</li><li>Support regulatory, security, and compliance requirements for sensitive and critical data.</li><li>Drive adherence to enterprise data standards and naming conventions.</li></ul><p><strong>Azure &amp; Databricks Integration:</strong></p><ul><li>Build and optimize data pipelines using <strong>Azure-native services</strong> and <strong>Databricks Lakehouse</strong> patterns.</li><li>Implement Delta Lake–based storage and ensure efficient master data propagation across layers.</li><li>Collaborate on Unity Catalog, access controls, and environment segregation strategies.</li></ul><p><strong>Collaboration &amp; Delivery:</strong></p><ul><li>Work closely with Product Owners and Business Analysts to translate business requirements into technical MDM solutions.</li><li>Support Agile delivery through story refinement, technical design, and sprint execution.</li><li>Participate in design reviews, architecture discussions, and production readiness activities.</li><li>Provide guidance and mentorship to junior engineers on MDM concepts and best practices.</li></ul><p><strong>Technical Responsibilities (Hands-On):</strong></p><ul><li>Configure and customize MDM platforms (e.g., Profisee) including entities, attributes, hierarchies, matching, and survivorship.</li><li>Develop and maintain ETL/ELT pipelines feeding and consuming master data.</li><li>Implement CI/CD pipelines for MDM configurations and data pipelines.</li><li>Support monitoring, error handling, and operational support for MDM workflows.</li><li>Optimize performance and scalability of master data processes.</li></ul><p><strong>Qualifications:</strong></p><ul><li>7+ years of experience in data engineering, data management, or MDM-focused roles.</li><li>3+ years of hands-on experience with <strong>Master Data Management platforms</strong> (Profisee strongly preferred).</li><li>Strong experience with <strong>Azure cloud services</strong> and modern data architectures.</li><li>Hands-on expertise with <strong>Databricks</strong>, Delta Lake, and Lakehouse patterns.</li><li>Solid understanding of data modeling, data quality, and data governance principles.</li><li>Proficiency in SQL and experience working with structured and semi-structured data.</li><li>Experience working in Agile delivery environments.</li></ul><p><strong>Preferred Experience:</strong></p><ul><li>Experience in <strong>financial services or other regulated industries</strong>.</li><li>Exposure to data governance tools, metadata management, or data catalog platforms.</li><li>Familiarity with Snowflake or other cloud data warehouses.</li><li>Experience supporting enterprise analytics, reporting, or regulatory data use cases.</li></ul><p><strong>KPIs &amp; 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