Experience summary + ETL experience: 13 years total + Minimum 5 years hands-on with: Azure Data Factory (ADF), notebooks, PySpark, Python, AI/ML, data management, data quality, data architecture, data modelling, Microsoft Fabric, Medallion architecture, CI/CD pipelines, data governance, and MDM + Additional stack exposure: SSIS, SQL Server, ERP, CRM + Fabric experience is a must + Knowledge of Profisee (MDM) and Microsoft Purview (data governance/catalog) is an added advantage Technical focus 40% Data Architecture / 60% Data Engineering Responsibilities + Architect and implement enterprise-grade data solutions to modernize BI and operationalize MDM frameworks using Azure-native services and Microsoft Fabric + Design, build, and optimize data pipelines with Fabric and ADF, aligned to Medallion architecture and data modelling best practices + Define target-state data architecture (batch/streaming, storage zones, compute patterns), ensuring scalability, cost efficiency, security, and compliance + Lead data migration strategies for cloud ERP systems, ensuring completeness, lineage, reconciliation, and high data integrity + Establish and embed data governance, data quality, and MDM controls; partner with business/data owners to operationalize policies + Guide transition from legacy SSIS/SQL Server workflows to Fabric-based, automated pipelines with CI/CD and GitOps practices + Enable AI/ML data readiness (feature stores, curated gold datasets) and collaborate with data science to operationalize ML workloads + Drive Agile delivery excellence through backlog shaping, sprint planning, iterative development, and continuous optimization + Proactively identify risks and implement solutions independently; communicate clearly with technical and non-technical stakeholders Requirements + Deep hands-on expertise with Azure data engineering: ADF, notebooks, PySpark, Python, Delta/Lakehouse patterns, and Microsoft Fabric + Strong understanding and practical application of Medallion architecture, data modelling (conceptual/logical/physical), and cloud-first design + Minimum 5 years applying data management, data quality, data governance, and MDM practices in production environments + Proven experience building CI/CD pipelines (e.g., Azure DevOps/Git) for data workloads, including environment promotion and automated testing + Background in SQL Server and SSIS, with demonstrated modernization to Azure/Fabric + Experience supporting ERP and CRM integrations, including data migration, reconciliation, and controls + Working knowledge of Profisee (preferred) and familiarity with Microsoft Purview for governance, lineage, and cataloging + Exceptional stakeholder management and communication; able to influence and align cross-functional teams + Self-directed, accountable, and collaborative; able to pass rigorous employment background verification At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. **Unsolicited Assistance** We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies (https://www.veralto.com/our-companies/) , in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral. Veralto and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.