Analytics Engineering Lead
Core
Orchestrates the transformation of complex, raw data into trusted, business-ready data assets that power executive dashboards and advanced analytics across Global Operations.
Role type
Senior Analytics Engineering Lead
Builds
Enterprise-grade data lakehouse ecosystem, silver/gold-layer data products, semantic models, and AI-ready data assets
Domain
Global Operations (Supply Chain, Manufacturing, Quality) + Data Engineering
Deliverable
production ML models
Required skills
Dimensional modeling, SQL, Python, PySpark, Cloud data platforms (Microsoft Fabric, Databricks, Snowflake), Data governance, DataOps, CI/CD, ERP knowledge (SAP ECC)
Preferred skills
ERP modernization, Legacy system consolidation, Self-service analytics adoption, Microsoft Fabric certifications (MS DP-600/700)
Technologies
Microsoft Fabric, Databricks, Snowflake, SQL, Python, PySpark, GitHub, Jira, Confluence, SAP ECC
Responsibilities
Own analytical data architecture including dimensional models and semantic assets; Design and build consumption-ready data products integrating enterprise systems; Implement data governance practices including quality controls and lineage; Automate and optimize data transformation workflows; Establish DataOps practices including source control and monitoring; Design AI-ready data products supporting machine learning and generative AI
Seniority
Senior, hands-on IC