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Senior Forward Deployed Engineer
Contract type
Ongoing
Work mode
Hybrid · London, United Kingdom
Experience
Senior · Not stated
Level inferred from job title
Job description
A Forward Deployed Engineer at Databricks works with customers to build and productionize data and AI solutions on the Databricks platform, owning architecture and leading design decisions. The role is hands-on and customer-facing, delivering production-grade systems spanning data engineering, AI, and application development.
At a glance
- Work mode
- Hybrid · London, United Kingdom
- Languages
- English
What you'll do
- Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
- Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications
- Work with engagement managers to scope technical delivery work with input from the customer
- Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
- Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices
- Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues
- Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact
- Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap
What we're looking for
- Strong years experience in data engineering, data platforms & analytics, or software engineering
- Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- Deep experience with distributed computing with 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
- Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces
- Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions
- Documentation and white-boarding skills
- Experience working with enterprise clients and managing conflicts across a broad stakeholder range
- Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects
- Travel to customers 20% of the time
Nice to have
- Databricks Certification preferred but not essential
Benefits
- Comprehensive benefits and perks that meet the needs of all of our employees
Apply
About Databricks
The Data and AI company
Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.
Key facts
- San Francisco
- Data and AI
- More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform
- 70% of the Fortune 500 rely on Databricks
- 30+ offices around the globe
Partners & customers
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