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
20% Data Architecture / 80% Data EngineeringKey responsibilities
Architect, develop, and operate enterprise-grade data pipelines using Microsoft Fabric, ADF, PySpark, and Python, aligned to Medallion architectureRationalize and modernize the BI data landscape; deliver curated bronze/silver/gold layers and performant semantic modelsImplement data quality, governance, lineage, and observability across pipelines; embed controls for auditability and compliancePrepare validated, high-quality datasets to support ERP migration waves and MDM mastering workflows, including reconciliation processesMigrate/retire legacy SSIS/SQL Server integrations to cloud-native, testable, and cost-efficient solutionsApply CI/CD for data engineering (branching, PRs, automated testing, environment promotion) using Azure DevOps/GitEnable AI/ML workloads by provisioning feature-ready datasets and operationalizing model data flows in collaboration with data scienceDiagnose and resolve complex integration issues across cloud-native and legacy platforms; optimize performance and costsCollaborate effectively with business analysts, transformation leads, and external partners; communicate progress and risks clearlyContribute to Agile delivery cycles, showing initiative and independence in problem solvingRequired expertise
Advanced proficiency in Azure-based data engineering: ADF, notebooks, PySpark, Python, Delta/Lakehouse patterns, and Microsoft FabricDemonstrated success building resilient, scalable, and observable pipelines with Medallion architecture and solid data modellingMinimum 5 years applying data management, data quality, data governance, and MDM practices in production environmentsStrong SQL skills; experience transitioning from SQL Server/SSIS to Azure/FabricHands-on CI/CD for data solutions (e.g., Azure DevOps), including automated deployments and quality gatesExposure to ERP/CRM integrations and data migration best practicesFamiliarity with Profisee (preferred) and Microsoft Purview for governance, lineage, and catalogingStrong communication, stakeholder engagement, and teamwork; integrity and ownership mindsetAble 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
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