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 + 20% Data Architecture / 80% Data Engineering Key responsibilities + Architect, develop, and operate enterprise-grade data pipelines using Microsoft Fabric, ADF, PySpark, and Python, aligned to Medallion architecture + Rationalize and modernize the BI data landscape; deliver curated bronze/silver/gold layers and performant semantic models + Implement data quality, governance, lineage, and observability across pipelines; embed controls for auditability and compliance + Prepare validated, high-quality datasets to support ERP migration waves and MDM mastering workflows, including reconciliation processes + Migrate/retire legacy SSIS/SQL Server integrations to cloud-native, testable, and cost-efficient solutions + Apply CI/CD for data engineering (branching, PRs, automated testing, environment promotion) using Azure DevOps/Git + Enable AI/ML workloads by provisioning feature-ready datasets and operationalizing model data flows in collaboration with data science + Diagnose and resolve complex integration issues across cloud-native and legacy platforms; optimize performance and costs + Collaborate effectively with business analysts, transformation leads, and external partners; communicate progress and risks clearly + Contribute to Agile delivery cycles, showing initiative and independence in problem solving Required expertise + Advanced proficiency in Azure-based data engineering: ADF, notebooks, PySpark, Python, Delta/Lakehouse patterns, and Microsoft Fabric + Demonstrated success building resilient, scalable, and observable pipelines with Medallion architecture and solid data modelling + Minimum 5 years applying data management, data quality, data governance, and MDM practices in production environments + Strong SQL skills; experience transitioning from SQL Server/SSIS to Azure/Fabric + Hands-on CI/CD for data solutions (e.g., Azure DevOps), including automated deployments and quality gates + Exposure to ERP/CRM integrations and data migration best practices + Familiarity with Profisee (preferred) and Microsoft Purview for governance, lineage, and cataloging + Strong communication, stakeholder engagement, and teamwork; integrity and ownership mindset + 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.