Sr. Forward Deployed Engineer
Databricks5 hours ago
Base Salary
$182k - $250k/yr
Responsibilities
- Lead customer technical projects by designing and delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
- Guide strategic customers through the end-to-end design, build, deployment, evaluation, and adoption of big data and AI applications.
- Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
- Embed with customer teams and engage stakeholders ranging from technical individual contributors to executives to understand challenges and deliver measurable impact.
- Collaborate with engagement managers, project managers, architects, Databricks technical teams, engineering, and customer support to deliver technical engagement components and resolve issues.
- Contribute reusable accelerators, frameworks, and best practices that scale across accounts and inform the Databricks product roadmap.
- Train customers, provide implementation guidance, and deliver technical and product feedback.
Requirements
- At least 6 years of experience in data engineering, data platforms and analytics, or software engineering.
- Ability to write code in Python, Scala, JavaScript, or TypeScript and work with modern frameworks.
- Working knowledge of at least two major cloud ecosystems—AWS, Azure, or GCP—with expertise in at least one.
- Deep experience with distributed computing using Apache Spark, including knowledge of Spark runtime internals.
- Working knowledge of MLOps, ML/AI models, and AI APIs.
- Experience designing and deploying performant, production-grade end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience delivering technical projects, including managing scope and timelines, measuring outcomes, and translating complex concepts into actionable solutions.
- Documentation and whiteboarding skills.
- Experience working with enterprise clients and managing conflicts across a broad range of stakeholders.
- Curiosity, adaptability, and eagerness to learn technologies that support Databricks-based solution deployment and integration.
- Databricks Certification.
Benefits
- The role includes travel to customers approximately 20% of the time.
- Benefits and perks are offered, with specific details varying by region.
Tech Stack
Categories
Data EngineeringForward Deployed
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 over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).