Sr. Forward Deployed Engineer
Databricks2 months 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.
- Collaborate with Databricks technical teams, project managers, architects, customer teams, engineering, and customer support to deliver engagements and resolve issues.
- Embed with customer stakeholders ranging from technical individual contributors to executives to understand challenges and deliver measurable impact.
- Create reusable accelerators, frameworks, and best practices that scale across accounts and inform the Databricks product roadmap.
- Manage technical delivery scope, timelines, and measurable project outcomes while translating complex concepts into actionable solutions.
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 using modern frameworks.
- Working knowledge of at least two cloud ecosystems, with expertise in at least one of AWS, Azure, or GCP.
- Deep experience with distributed computing using Apache Spark, including knowledge of Spark runtime internals.
- Working knowledge of CI/CD, MLOps, ML/AI models, and AI APIs.
- Experience designing and deploying performant production data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience delivering technical projects, managing scope and timelines, and producing measurable outcomes.
- Strong documentation and whiteboarding skills.
- Experience working with enterprise clients and managing conflicts across 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 employee benefits and perks are offered, with specific details varying by region.
- The role includes 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.