Engineer

• Work with customers to build and productionize solutions to data and AI challenges using the Databricks platform
• Own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development
• Deliver production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations
• Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications
• Scope technical delivery work with engagement managers and customer input
• Guide customers on architecture and design and support project evaluation and adoption of Databricks
• Ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices
• Collaborate with Databricks technical teams, project managers, architects, customer teams, Engineering, and Customer Support
• Provide product and implementation feedback and help resolve engagement-specific product and support issues
• Embed with customer teams and engage stakeholders from technical individual contributors to executives
• Contribute accelerators, frameworks, and best practices that scale across accounts and influence the Databricks product roadmap

Explore Senior Forward Deployed Engineer at Databricks. Review requirements and application details.

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