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.
- Guide strategic customers through the end-to-end design, build, deployment, evaluation, and adoption of 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 and collaborate with technical stakeholders, executives, project managers, architects, engineering, support, and product teams.
- Provide product and implementation feedback, help resolve engagement-specific issues, and contribute reusable accelerators, frameworks, and best practices.
Requirements
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Experience coding in Python, Scala, JavaScript, TypeScript, and modern frameworks.
- Working knowledge of at least two cloud ecosystems, with expertise in AWS, Azure, or GCP.
- Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
- Experience designing and deploying performant production data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Working knowledge of MLOps, ML/AI models, AI APIs, and CI/CD for production deployments.
- 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 build skills in new technical areas and demonstrate curiosity, adaptability, and eagerness to explore technologies supporting Databricks-based solution delivery.
Benefits
- Comprehensive employee benefits and perks are offered, with region-specific details available through Databricks.
- San Francisco Bay Area-focused role; candidates should be based in the area, willing to relocate, or able to travel there at least one week per month.
- Travel to customers is approximately 20% of the time.
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.