
Forward Deployed Engineer
Databricks2 days ago
Responsibilities
- Lead customer technical projects delivering production-grade data, AI, and application solutions.
- Design and implement reference architectures, data ingestion systems, custom data applications, and ML/AI model integrations.
- Own architecture and design decisions to ensure solutions are secure, scalable, performant, and aligned with customer needs.
- Guide customers through project implementation, evaluation, understanding, and adoption of Databricks.
- Collaborate with engagement managers, project managers, architects, Databricks engineering and support, and customer teams to deliver technical engagements.
- Embed with customer stakeholders ranging from technical individual contributors to executives and resolve engagement-specific issues.
- Contribute reusable accelerators, frameworks, and best practices while providing feedback that influences the Databricks product roadmap.
- Manage technical scope, timelines, and measurable project outcomes.
Requirements
- 6+ years of experience in data engineering, data platforms, and analytics.
- Ability to write code in Python, Scala, JavaScript, or TypeScript using modern frameworks.
- Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
- Working knowledge of at least two major cloud ecosystems—AWS, Azure, or GCP—with expertise in at least one.
- Working knowledge of MLOps, ML/AI models, and AI APIs.
- Experience designing and deploying performant, production-grade end-to-end data architectures and applications.
- Experience delivering technical projects, managing scope and timelines, and translating complex concepts into actionable solutions.
- Experience working with enterprise clients and managing conflicts across broad stakeholder groups.
- Strong documentation and whiteboarding skills, with curiosity and adaptability toward new technologies.
- Databricks Certification.
- Additional software engineering experience is preferred.
Benefits
- Comprehensive employee benefits and perks are offered, with region-specific details.
- The role requires travel to customers 20% of the time.
Tech Stack
Categories
Forward 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).