Sr. Forward Deployed Engineer (FDE) - Digital Native Business
Databricks9 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.
- Design and deploy end-to-end data and AI applications incorporating data pipelines, ML/AI models, and user-facing interfaces.
- Own architecture and design decisions to deliver secure, scalable solutions aligned with customer needs and Databricks best practices.
- Guide customers through architecture, implementation, evaluation, adoption, training, and successful use of Databricks solutions.
- Collaborate with engagement managers, project managers, architects, engineering, customer support, and customer teams to deliver technical components and resolve issues.
- Embed with customer stakeholders ranging from technical individual contributors to executives and manage scope, timelines, outcomes, and conflicts.
- Create reusable accelerators, frameworks, and best practices while contributing feedback that influences 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 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 CI/CD, 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.
- Strong documentation and whiteboarding skills, plus experience working with enterprise clients and broad stakeholder groups.
- Curiosity, adaptability, and eagerness to explore technologies supporting Databricks-based solution deployment and integration.
- Databricks Certification.
- Willingness to travel to customers 20% of the time.
Benefits
- Comprehensive benefits and perks are offered, with region-specific details available through Databricks.
- The role is San Francisco Bay Area-focused; candidates should be based in the area, willing to relocate, or able to travel there at least one week per month.
- The role requires approximately 20% travel to customers.
Tech Stack
Categories
Forward Deployed
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.