Lead Databricks Data Engineer

Senior / Lead Databricks Data EngineerLocation: Charlotte, NC | OnsiteIndustry: Insurance | Experience: 13+ YearsCertification: Databricks Certified – MandatoryTarget: 90%+ MatchKey Requirements:7+ years of Data Engineering experience; 13+ years overall preferred.Strong hands-on Databricks, Apache Spark/PySpark, Python, and SQL.Experience with Delta Lake, Delta Live Tables/Lakeflow, and Lakehouse architecture.Strong ETL/ELT, data modeling, data warehousing, and enterprise data pipelines.Cloud experience with Azure, AWS, or GCP; Azure Databricks preferred.Experience with ADF, Airflow, or similar orchestration tools.Strong Spark/Databricks performance tuning and troubleshooting.Experience with Medallion Architecture (Bronze/Silver/Gold).Knowledge of data governance, security, monitoring, and data quality.CI/CD and DevOps experience for Databricks preferred.Strong stakeholder communication and technical leadership/mentoring skills.Insurance Domain: Strongly preferred — P&C, Life, Health, Claims, Policy Administration, Underwriting, Billing, Premiums, Customer/Member data, Risk/Fraud analytics.Ideal Candidate:Senior/Lead Data Engineer combining Databricks + Spark/PySpark + Python/SQL + Insurance domain + Enterprise Data Engineering experience.