Sr. Forward Deployed Engineer
Databricks3 hours ago
Base Salary
$182k - $250k/yr
Responsibilities
- Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
- Guide end-to-end design, build, deployment, evaluation, and adoption of data and AI applications on Databricks.
- Own architecture and design decisions to ensure solutions are secure, scalable, performant, and aligned with customer needs and Databricks best practices.
- Scope technical delivery work with customers and engagement managers, managing project scope, timelines, and measurable outcomes.
- Embed with customer teams and engage stakeholders ranging from technical individual contributors to executives.
- Collaborate with Databricks engineering, product, developer relations, project management, architecture, customer support, and customer teams.
- Provide product and implementation feedback and help resolve engagement-specific product and support issues.
- Create reusable accelerators, frameworks, and best practices that scale across customer accounts and influence the Databricks product roadmap.
Requirements
- 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 of AWS, Azure, and 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 end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience with technical project delivery, including scope and timeline management, measurable outcomes, and translating complex concepts into actionable solutions.
- Documentation and whiteboarding skills.
- Experience working with enterprise clients and managing conflicts across broad stakeholder groups.
- Curiosity, adaptability, and eagerness to learn technologies supporting Databricks-based solution deployment and integration.
- Databricks Certification.
- Ability to travel to customers 20% of the time.
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 DeployedSolutions Engineering
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).