Senior Data Engineer #2595 Position Summary: Our partner is a global manufacturer modernizing its ERP-driven data environment into a cloud-native platform for trusted analytics and forecasting. Experience and Education: BS in Computer Science, Information Systems, Software Engineer or equivalent technical field Experience building enterprise data platforms using Databricks and Azure Background in designing and owning data models sourced from ERP systems Experience working with SAP or other large-scale ERP environments History of owning data pipelines end-to-end in production environments Exposure to forecasting, analytics, or ML-enabled data use cases Experience working with globally distributed or offshore teams Skills and Strengths: Databricks Azure Data engineering Data modeling ERP data environments SAP SQL Python Lakehouse architecture ETL design Data orchestration Data quality frameworks Performance optimization Enterprise data governance Analytics enablement Forecasting data pipelines Machine learning support Systems tradeoff analysis Cross-team collaboration Technical documentation Primary Job Responsibilities: Own the Databricks-based data engineering layer used across the enterprise Design and maintain high-quality data models sourced from ERP systems Ensure data pipelines are reliable, scalable, and performant Standardize ETL patterns, orchestration, and data quality checks Improve lakehouse performance and long-term maintainability Partner closely with BI leadership to enable trusted analytics and forecasting Support ML and advanced analytics use cases through strong data foundations Establish and reinforce enterprise data governance practices Collaborate with offshore and onshore teams to ensure consistency Decide when work requires immediate fixes versus backlog prioritization Clearly explain engineering tradeoffs across cost, performance, and mai...
