Sr. Forward Deployed Engineer
Databricks2 months ago
Base Salary
$182k - $250k/yr
Responsibilities
- Lead customer technical projects by designing and delivering production-grade data, AI, and application systems.
- Build reference architectures, custom applications, data ingestion pipelines, and ML/AI model integrations.
- Own architecture and design decisions to ensure secure, scalable solutions aligned with customer needs and Databricks best practices.
- Guide customers through architecture, implementation, evaluation, adoption, and technical training.
- Coordinate technical delivery with Databricks engineers, project managers, architects, customer teams, and support.
- Embed with customer stakeholders ranging from technical individual contributors to executives to understand challenges and deliver measurable impact.
- Contribute reusable accelerators, frameworks, and best practices that scale across accounts and influence the Databricks product roadmap.
- Provide product and implementation feedback and help resolve engagement-specific technical and support issues.
Requirements
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Ability to write code in Python, Scala, JavaScript, TypeScript, or modern frameworks.
- Working knowledge of at least two cloud ecosystems—AWS, Azure, or 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 end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience delivering technical projects, managing scope and timelines, and translating complex concepts into actionable solutions.
- Documentation and whiteboarding skills, enterprise client experience, and the ability to manage conflicts across broad stakeholder groups.
- Curiosity, adaptability, and willingness to learn technologies supporting Databricks-based solution deployment and integration.
- Databricks Certification.
Benefits
- The role includes travel to customers approximately 20% of the time.
- Databricks offers comprehensive regional benefits and perks; specific offerings vary by location.
- The total compensation package may include an annual performance bonus, equity, and benefits.
Tech Stack
Categories
Data EngineeringForward 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.