Develop and productionize machine learning models and predictive analytics using Python, Databricks, PySpark, SQL, and Delta Lake. Build scalable data science workflows, resolve healthcare data quality and entity-resolution issues, and apply Master Data Management practices. Partner with engineering, product, analytics, and business teams to deliver governed, HIPAA-compliant solutions. Perform exploratory analysis, feature engineering, model evaluation, deployment, documentation, and data lineage management for healthcare and member engagement initiatives.

Lead the strategy, architecture, and implementation of automated data testing frameworks for Databricks Lakehouse platforms. Validate Delta Lake tables, batch and streaming pipelines, data lineage, governance controls, performance, and scalability. Integrate quality tests into CI/CD workflows, establish engineering standards, and mentor data QA engineers. The role requires deep expertise in Python, PySpark, Spark SQL, Databricks, testing frameworks, and cloud infrastructure.

Manage the complete sales cycle including lead generation, networking, and deal closure in a remote team environment. Work with Databricks professionals to drive new business.