Forward Deployed Engineer (FDE) - Public Sector
Databricks2 months ago
Base Salary
$153k - $210k/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 end-to-end design, build, deployment, evaluation, and adoption of data and AI applications for federal government customers.
- Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer requirements and Databricks best practices.
- Implement and deploy performant data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Embed with customer teams, understand technical and business challenges, train stakeholders, and support successful platform adoption.
- Collaborate with Databricks engineers, project managers, architects, customer teams, and customer support to deliver technical components and resolve issues.
- Scope technical delivery work with engagement managers and contribute reusable accelerators, frameworks, and best practices that influence the product roadmap.
Requirements
- 5+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Fluency 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 distributed-computing experience with Apache Spark and knowledge of Spark runtime internals.
- Working knowledge of CI/CD, MLOps, ML/AI models, and AI APIs for production deployments.
- Experience designing and deploying performant end-to-end data architectures and applications.
- Experience with technical project delivery, documentation, whiteboarding, enterprise clients, and managing conflicts across broad stakeholder groups.
- Preferred: expertise in MLOps, ML/AI models, and AI APIs.
- Preferred: Databricks Certification.
- U.S. citizenship and eligibility for a U.S. government Secret clearance are required; active Secret or higher clearance is strongly encouraged.
Benefits
- Hybrid work arrangement with travel to customer locations 20–25% of the time.
- Comprehensive benefits and perks, with region-specific details available from Databricks.
- Potential eligibility for an annual performance bonus and equity in addition to base compensation.
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.