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Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads design decisions, implements data pipelines, integrates ML/AI models, ensures secure scalable deployments, provides technical guidance, and delivers measurable outcomes while contributing reusable assets and supporting customer adoption.

Lead and deliver production-grade Databricks data and AI solutions for public-sector customers. Own architecture, implement end-to-end data pipelines and ML integrations, embed with customer teams, and produce reusable accelerators while managing scope, timelines, and stakeholder relationships.

Lead customer-facing, production-grade data and AI solutions on the Databricks platform. Own architecture, design, and implementation across data engineering, ML/AI integration, and applications. Embed with stakeholders, deliver measurable outcomes, contribute reusable assets, and collaborate with product and engineering to resolve technical issues.

Customer-facing senior engineer who architects, builds, and productionizes data and AI solutions on Databricks. Leads end-to-end design, distributed Spark-based pipelines, MLOps integration, CI/CD deployment, and customer enablement while embedding with stakeholders and contributing reusable accelerators.

Lead customer-facing projects to design, build, and productionize end-to-end data and AI systems on the Databricks platform. Own architecture and implementation across data engineering, distributed Spark workloads, MLOps, and user-facing applications while embedding with customers, guiding adoption, and contributing reusable accelerators.

Lead customer-facing projects to design, build, and productionize end-to-end data and AI solutions on the Databricks platform. Own architecture, implement data pipelines, ML/AI model integration, and applications, while guiding customers, creating reusable assets, and working cross-functionally to ensure secure, scalable production deployments.

Lead customer-facing, production-grade data and AI solutions on Databricks: own architecture, design and implement data pipelines, ML/AI model integration, and user-facing applications; embed with customers, drive technical delivery, and contribute reusable assets and best practices.

Lead customer-facing, production-grade data and AI solutions on Databricks: design architectures, implement data pipelines and ML integrations, embed with stakeholders, deliver projects, and produce reusable accelerators and best practices.

Lead customer-facing projects to design, build, and productionize Databricks-based data and AI solutions. Own architecture, implement end-to-end data pipelines, ML/AI model integration, CI/CD deployments, and customer enablement while embedding with enterprise teams and contributing reusable accelerators.

Customer-facing senior engineer who architects, builds, and productionizes Databricks-based data and AI solutions. Leads end-to-end data engineering, ML/AI model integration, CI/CD deployments, and reusable assets while collaborating with stakeholders to deliver measurable outcomes and scale best practices.