Sr. Forward Deployed Engineer (FDE) - Digital Native Business
Databricks9 hours ago
Base Salary
$182k - $250k/yr
Responsibilities
- Lead customer technical projects and deliver 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 Databricks-based 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, train stakeholders, resolve technical challenges, and translate complex concepts into actionable solutions.
- Coordinate with engagement managers, project managers, architects, engineering, product, customer support, and customer teams to deliver technical engagements.
- Contribute reusable accelerators, frameworks, best practices, implementation feedback, and product roadmap input.
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 cloud ecosystems among AWS, Azure, and GCP, with expertise in at least one.
- Deep experience with distributed computing using Apache Spark, including knowledge of Spark runtime internals.
- Experience designing and deploying performant, production-grade end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Working knowledge of MLOps, ML/AI models, AI APIs, and production deployment practices.
- Experience with technical project delivery, including scope, timelines, measurable outcomes, documentation, and whiteboarding.
- Experience working with enterprise clients and managing conflicts across broad stakeholder groups.
- Databricks Certification.
- Ability to travel to customers approximately 20% of the time.
- Curiosity, adaptability, customer empathy, and eagerness to explore technologies supporting Databricks-based solution deployment and integration.
Benefits
- Comprehensive employee benefits and perks are available, with region-specific details provided separately.
- San Francisco Bay Area preferred; 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.
- Eligible compensation may also include an annual performance bonus and equity.
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.