Lead Azure Data Engineer

Company OverviewImagine Everything. Build the Future with Hexion.At Hexion, we push boundaries, rethink possibilities, and create real impact.We activate science to deliver progress-developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.This is where bold thinkers, problem-solvers, and innovators come together to shape what's next.Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.We don't follow the status quo-we challenge it, disrupt it, and improve it.Every role at Hexion is part of something bigger.We invest in innovation, sustainability, and continuous development-equipping you with the tools, training, and opportunities to excel.With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.Your Future Starts Here.If you're ready topush limits, reimagine what's possible, and create the extraordinary,Hexion is where you belong.Anything is possible when you imagine everything.Position OverviewHexion's ED&A team needs a Senior Azure Data Engineer to develop and manage a scalable Azure data platform that combines SAP ECC, SAP BW, and other sources for reliable enterprise data and modeling.Job ResponsibilitiesBuild, manageandoptimizedatapipelines using Azure Databricks (PySpark), SQL, ADLS Gen2, and Azure DataFactory;enabling automated, incremental, and standardized data ingestion and deployment.Build and maintain Delta Live Tables (DLT) pipelines in Databricks, including DLT tables, data quality expectations, and multi-layer (Bronze/Silver/Gold) patterns.Implement Unity Catalog for centralized access control, auditability, and lineage-aligned governance.Deliver curated, reusable datasetsthat will be treated as Data Productsthat support enterprise performance management and advanced modeling workloads.Prepare structured and document-style datasets for indexing and retrieval workflows (e.g., embedding/vector-ready content and metadata standardsfor AI enablement),facilitatingdownstream knowledge and automation solutions.Implement monitoring, alerting, logging, and cost/performance tuning;createoperational runbooks to support SLAs.Lead code reviews, define engineering standards, and mentor junior developers; partner with stakeholders to prioritize high-impact improvements.Minimum QualificationsBachelor's degree in Computer Science or a related field (or equivalent experience).7+ years in Azure data engineering with production ownership.Strong proficiency in Azure Databricks, Python (PySpark), and SQL.Databricks Unity Catalog experience required (catalog/schema design, permissions/access control, governance).Understanding of best practice data lake and lake house design patterns (e.g., Kimball-based star and snowflake data modeling).Databricks DLT experience required (DLT pipelines, DLT tables, expectations/data quality).Strong Delta Lake performance, tuning and operational best practices.Experience integrating ADLS Gen2 and orchestrating with Azure Data Factory.Soft SkillsStrong cross-functional communication and ownership mindset.Pragmatic problem-solver with continuous improvement fortable operating in an environment with evolving priorities.Preferred SkillsSAP ECC/BW integration experience (knowledge of SAP tables, CDS/OData).CI/CD for data pipelines (Azure DevOps, Git).Exposure to feature engineering and lifecycl

Created: 2026-02-23