Leads end-to-end data and analytics engineering engagements, designing and building Databricks-centered data platforms, pipelines, lakehouses, models, semantic layers, dashboards, and insights. Establishes engineering standards for testing, CI/CD, infrastructure as code, quality, and documentation. Coaches and grows engineering teams, manages client delivery, budgets, timelines, and stakeholders, supports proposals and sales, and helps shape practice strategy and technology partnerships.