10+ years of IT experience, including deep expertise in data engineering & ETL; 4-6+ years of recent hands-on experience in designing, building, and scaling data pipelines; Strong hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog) and AWS (S3, IAM, networking); A passion for continued learning and an interest in staying current with the rapidly evolving data and analytics space; Experience working in an Agile analytics environment where close collaboration with key stakeholders to address evolving requirements is the norm; Expertise in SQL, Python, data modeling, and distributed processing; Experience with CI/CD, DevOps, and modern data architecture (lakehouse, medallion, etc.); and. This is a high-impact, highly visible role where you'll: Lead the design and implementation of a modern AWS + Databricks Lakehouse platform; Partner across IT, analytics, and business teams to turn data into decisions; Drive scalable, governed, high-performance data solutions; and.