Senior Forward Deployed Engineer
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Job Description
Senior Forward Deployed Engineer building and deploying Databricks data and AI solutions for customers. Owning architecture, technical delivery, and customer-facing implementation across data engineering and ML/AI.
Responsibilities:
- 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
Requirements:
- 9+ years of experience in data engineering, data platforms & analytics, or software engineering
- Comfortable writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks
- Working knowledge of at least two common cloud ecosystems (AWS, Azure, GCP), with expertise in at least one
- Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps, ML/AI models, and AI APIs
- Experience designing and deploying performant production end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces
- Experience with technical project delivery, including scope, timelines, measurable outcomes, and translating complex concepts into actionable solutions
- Documentation and white-boarding skills
- Experience working with enterprise clients and managing conflicts across broad stakeholder groups
- Curiosity, adaptability, and eagerness to explore technologies supporting Databricks-based solution deployment and integration
- Willingness to travel to customers 20% of the time
- Databricks Certification
Benefits:
- Comprehensive benefits and perks; specific regionally offered benefits are provided via the employer's benefits document
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