Teams at Bloomerang

Lead design, implementation, and migration of the enterprise data warehouse from BigQuery to Databricks. Build scalable ETL/ELT pipelines, data models, governance, quality monitoring, and performance optimizations while partnering with cross-functional teams and mentoring colleagues.

Lead the intelligence layer atop the data lakehouse: design and run causal experimentation, build predictive and forecasting models, own model evaluation and monitoring, deploy and maintain models on Databricks/MLflow, set technical direction for data science, and partner closely with data engineers, AI engineers, and product. Use AI development tools daily.

Build and operate Databricks-based lakehouse pipelines (medallion/Data Vault 2.0), resolve identity across systems, enable near-real-time CDC, integrate external partners, add observability, and partner with AI/product teams to deliver trustworthy data for BI, ML, and in-product features.