Experience summary
ETL experience: 13 years totalMinimum 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 MDMAdditional stack exposure: SSIS, SQL Server, ERP, CRMFabric experience is a mustKnowledge of Profisee (MDM) and Microsoft Purview (data governance/catalog) is an added advantageTechnical 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 FabricDesign, build, and optimize data pipelines with Fabric and ADF, aligned to Medallion architecture and data modelling best practicesDefine target-state data architecture (batch/streaming, storage zones, compute patterns), ensuring scalability, cost efficiency, security, and complianceLead data migration strategies for cloud ERP systems, ensuring completeness, lineage, reconciliation, and high data integrityEstablish and embed data governance, data quality, and MDM controls; partner with business/data owners to operationalize policiesGuide transition from legacy SSIS/SQL Server workflows to Fabric-based, automated pipelines with CI/CD and GitOps practicesEnable AI/ML data readiness (feature stores, curated gold datasets) and collaborate with data science to operationalize ML workloadsDrive Agile delivery excellence through backlog shaping, sprint planning, iterative development, and continuous optimizationProactively identify risks and implement solutions independently; communicate clearly with technical and non-technical stakeholdersRequirements
Deep hands-on expertise with Azure data engineering: ADF, notebooks, PySpark, Python, Delta/Lakehouse patterns, and Microsoft FabricStrong understanding and practical application of Medallion architecture, data modelling (conceptual/logical/physical), and cloud-first designMinimum 5 years applying data management, data quality, data governance, and MDM practices in production environmentsProven experience building CI/CD pipelines (e.g., Azure DevOps/Git) for data workloads, including environment promotion and automated testingBackground in SQL Server and SSIS, with demonstrated modernization to Azure/FabricExperience supporting ERP and CRM integrations, including data migration, reconciliation, and controlsWorking knowledge of Profisee (preferred) and familiarity with Microsoft Purview for governance, lineage, and catalogingExceptional stakeholder management and communication; able to influence and align cross-functional teamsSelf-directed, accountable, and collaborative; able to pass rigorous employment background verificationAt 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, 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.