Sr. Forward Deployed Engineer (FDE) - Retail
Databricks2 months 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 strategic customers through the end-to-end design, build, and deployment of big data and AI applications.
- Advise customers on architecture and design and bootstrap or implement customer projects to support Databricks evaluation and adoption.
- Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
- Coordinate with Databricks technical teams, project managers, architects, and customer teams to deliver technical engagement components.
- Collaborate with Engineering and Customer Support on product feedback, implementation feedback, and resolution of engagement-specific issues.
- Embed with customer teams and engage stakeholders ranging from technical individual contributors to executives.
- Create reusable accelerators, frameworks, and best practices that scale across accounts and inform the Databricks product roadmap.
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/TypeScript, and modern frameworks.
- Working knowledge of at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in at least one.
- Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
- Working knowledge of MLOps, ML/AI models, and AI APIs.
- Experience designing and deploying performant production data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience delivering technical projects, including managing scope and timelines and translating complex concepts into actionable solutions.
- Documentation and white-boarding skills.
- Experience working with enterprise clients and managing conflicts across broad stakeholder groups.
- Databricks Certification.
- Curiosity, adaptability, and eagerness to explore technologies supporting Databricks-based solution deployment and integration.
Benefits
- Travel to customers approximately 20% of the time
- Comprehensive employee benefits and perks are offered, with region-specific details available from Databricks
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).