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The role involves architecting and automating AWS infrastructure, managing CI/CD processes, ensuring observability, and mentoring junior engineers.

Lead customer-facing engagements to design, build, and productionize end-to-end data and AI solutions on Databricks. Own architecture, implement data pipelines, integrate ML/AI models and user interfaces, drive technical delivery, enable customer adoption, and produce reusable accelerators to scale impact.

The role involves backend engineering for Databricks' Data Intelligence Platform in the Public Sector, focusing on scalable systems and optimizing performance in secure environments.

Lead customer-facing, production-grade data and AI projects on the Databricks platform: design architectures, implement data pipelines and ML integrations, embed with customer teams, deliver measurable outcomes, contribute reusable assets, and coordinate with engineering, support, and project managers to ensure secure, scalable deployments.

Customer-facing senior engineer who architects, builds, and productionizes Databricks-based data and AI solutions. Leads end-to-end projects across data engineering, distributed Spark workloads, MLOps, CI/CD, and user-facing applications while embedding with customers to drive adoption and reusable assets.

Customer-facing, hands-on engineer who designs, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. Own architecture, implement data pipelines, ML/AI integrations, applications, and reusable assets while collaborating with stakeholders to deliver measurable outcomes.

Customer-facing senior engineer who architects, implements, and productionizes end-to-end data and AI solutions on Databricks. Responsibilities include Spark-based distributed data engineering, ML/AI model integration, CI/CD deployments, technical project delivery, stakeholder engagement, reusable assets creation, and providing product/implementation feedback.

Work with customers to design, build, and deploy Databricks-based big data and AI solutions. Deliver data engineering, data science, and cloud integration projects, create reference architectures and MVPs, provide escalated operational support, document and whiteboard solutions, manage project scope and timelines, and collaborate with internal engineering, PM, and support teams. Customer-facing role with travel.

As a Software Engineer on the Public Sector team, you'll design and scale backend services for Databricks' Data Intelligence Platform, ensuring high availability and resilience in complex environments, while optimizing performance and security standards.

Lead technical direction and architecture for Spark Structured Streaming across open source and Databricks, designing core engine capabilities (state management, operators), improving latency/throughput, ensuring operational excellence, and mentoring engineers while partnering with product and customers.