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The Forward Deployed Engineer will design, deliver, and implement custom fullstack applications on the Databricks Platform, focusing on architecture, application engineering, and customer engagement.

Design and build scalable backend infrastructure and services for the Databricks platform, including distributed systems, cloud storage integrations (S3, Azure Blob), data pipelines (Spark), and developer tooling. Deliver high-performance, reliable services and client libraries, and collaborate on SaaS and service-oriented architecture to support large-scale platform usage.

The role involves designing large-scale networking platforms, influencing technical direction, and leading initiatives across teams to enhance cloud connectivity and observability at Databricks.

Lead and grow a regional Lakebase specialist sales team to drive adoption of Databricks for operational, real-time, and transactional workloads. Own regional revenue targets and pipeline, coach specialists on deal strategy and technical qualification, execute developer/platform sales motions, engage senior technical executives and partners, and provide field feedback to product and GTM teams.

Lead application of group accounting policy across 27 international entities, own statutory compliance calendar and audit interactions, draft technical accounting position papers, design automated statutory reporting workflows, support NetSuite-to-SAP transition, and advise cross-functional teams on accounting implications of intercompany, funding, and structural changes.

The role involves selling data and AI solutions to enterprise clients, developing business plans, and leading strategic partnerships to drive customer success and accelerate innovation.

Lead engineering teams to build and operate large-scale cloud services and developer platforms. Drive technical strategy, manage technical debt, ensure delivery, partner with product and customers, and grow engineering leaders while integrating AI into developer workflows.

Sell Databricks enterprise cloud data platform into telco accounts, close net-new logos and existing accounts, manage complex sales cycles, meet revenue and activity targets, track opportunities in Salesforce, and build internal and external success plans.

Lead customer-facing projects to design, build, and productionize end-to-end data and AI solutions on Databricks. Own architecture, implement data pipelines, ML/AI integrations and user-facing applications, enable customer adoption, contribute reusable assets, and work cross-functionally to deliver measurable outcomes.

Lead architecture and hands-on development of AI-powered support automation and agentic workflows to reduce time-to-mitigate, improve quality, and scale Support. Own technical vision, implement observability and rollback mechanisms, align roadmaps across teams, and mentor engineers to ensure reliability and maintainability.