Sr. Forward Deployed Engineer
Databricks5 hours ago
Base Salary
$182k - $250k/yr
Responsibilities
- Lead customer technical projects by designing and delivering production-grade data, AI, and application systems.
- Own architecture and design decisions for secure, scalable solutions aligned with customer needs and Databricks best practices.
- Build data ingestion pipelines, custom applications, reference architectures, and ML/AI model integrations.
- Guide customers through architecture, implementation, evaluation, adoption, and transformational big data initiatives.
- Collaborate with engagement managers, project managers, architects, engineers, customer support, and customer teams to deliver technical components and resolve issues.
- Embed with customer stakeholders, provide technical guidance and training, and contribute reusable accelerators, frameworks, and best practices.
Requirements
- 5+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Proficiency writing code in Python, Scala, JavaScript/TypeScript, and 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 and knowledge of Spark runtime internals.
- Familiarity with production deployments, MLOps, ML/AI models, and AI APIs.
- Experience designing and deploying performant end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience with technical project delivery, documentation, whiteboarding, enterprise clients, and managing conflicts across stakeholders.
- Preferred qualifications include 8+ years of relevant experience, Databricks Certification, and expertise in MLOps, ML/AI models, and AI APIs.
- Eligibility and interest in obtaining an active U.S. government Public Trust or higher clearance is strongly encouraged, with clearance required for applicable classified-information access.
Benefits
- 25% travel to client sites is required.
- The role includes comprehensive benefits and perks, with region-specific details provided by Databricks.
- The total compensation package may include an annual performance bonus and equity in addition to benefits.
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.