Sr. Forward Deployed Engineer (FDE) - Digital Native Business

Bazeta; San Francisco (CA); Remoto; USD 182.000 - 250.000; Tempo pieno

Descrizione del lavoro

Databricks, based in San Francisco, seeks a Senior Forward Deployed Engineer to own architecture and deliver end-to-end data and AI solutions for customers. You will lead production-grade designs spanning data engineering, ML models, and applications while ensuring security, scalability, and customer value.

You will work closely with customer teams and internal engineering groups, travel up to 20%, and contribute accelerators and best practices to scale impact across accounts.

Competenze

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering.
• Experience with Python/Scala/JavaScript/TypeScript and modern frameworks.
• Cloud experience with at least one of AWS, Azure, GCP.
• Deep experience with distributed computing, Spark runtime internals.
• Knowledge of ML/AI models, MLOps, and APIs.
• Ability to deliver technical projects with measurable outcomes.
• Strong documentation and white-boarding skills.

Mansioni

• Lead architecture and design decisions for production-grade data and AI solutions.
• Deliver end-to-end deployments across data pipelines, ML models, and user interfaces.
• Collaborate with customers, engineers, and product teams to drive outcomes.
• Provide feedback to product and support teams to improve engagements.
• Embed with customer teams to understand challenges and deliver impact.

Conoscenze

Python

Scala

JavaScript/TypeScript

Cloud platforms

Distributed computing

MLOps

CI/CD

Data engineering

Strumenti

Apache Spark

Descrizione del lavoro

# Sr. Forward Deployed Engineer (FDE) - Digital Native BusinessUnited States2 hours agoID 5028245Price on request## DetailsEmployment type: Full-timeRemote: YesCompany: DatabricksLevel: Senior## DescriptionCSQ227R258 As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. Location: San Francisco Bay Area Preferred This role is San Francisco Bay Area-focused. We're looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team. The impact you will have: • Production Solution Delivery: 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 • Transformational Impact: 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 • Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. • Own the Architecture: 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. • Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. • Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: • 6+ years of 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 SparkTM 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 • Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $182,000—$250,208 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here ....