Sr. Forward Deployed Engineer
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 end-to-end design, build, deployment, evaluation, and adoption of data and AI applications on Databricks.
- Own architecture and design decisions to ensure solutions are secure, scalable, performant, and aligned with customer needs and Databricks best practices.
- Scope technical delivery work with customers and engagement managers, managing project scope, timelines, and measurable outcomes.
- Embed with customer teams and engage stakeholders ranging from technical individual contributors to executives.
- Collaborate with Databricks engineering, product, developer relations, project management, architecture, customer support, and customer teams.
- Provide product and implementation feedback and help resolve engagement-specific product and support issues.
- Create reusable accelerators, frameworks, and best practices that scale across customer accounts and influence 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 of AWS, Azure, and GCP, with expertise in at least one.
- Deep experience with distributed computing using Apache Spark, including knowledge of Spark runtime internals.
- Working knowledge of 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 with technical project delivery, including scope and timeline management, measurable outcomes, and translating complex concepts into actionable solutions.
- Documentation and whiteboarding skills.
- Experience working with enterprise clients and managing conflicts across broad stakeholder groups.
- Curiosity, adaptability, and eagerness to learn technologies supporting Databricks-based solution deployment and integration.
- Databricks Certification.
- Ability to travel to customers 20% of the time.
Benefits
- The role includes travel to customers approximately 20% of the time.
- Benefits and perks are offered, with specific details varying by region.
Tech Stack
Categories
Data EngineeringForward DeployedSolutions Engineering
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.