Sr. Forward Deployed Engineer - National Security Professional Services
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.
- Design, build, and deploy end-to-end big data and AI applications for strategic federal government customers.
- Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
- Guide customers through architecture, implementation, evaluation, adoption, and successful use of Databricks.
- Collaborate with engagement managers, project managers, architects, engineers, customer teams, and customer support to deliver technical components and resolve issues.
- Embed with customer teams and engage stakeholders ranging from technical individual contributors to executives.
- Create reusable accelerators, frameworks, and best practices that scale across accounts and influence the Databricks product roadmap.
- Provide technical project delivery, documentation, training, and customer implementation support.
Requirements
- At least 6 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 MLOps, ML/AI models, and AI APIs.
- Experience designing and deploying performant, production-grade end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Familiarity with CI/CD for production deployments.
- Experience with technical project delivery, documentation, whiteboarding, enterprise clients, and managing conflicts across broad stakeholder groups.
- U.S. citizenship and eligibility for a U.S. government Secret clearance are required; active Secret or higher clearance is strongly preferred.
- Databricks Certification is preferred.
Benefits
- Hybrid work arrangement with travel to customer locations 20–25% of the time.
- Comprehensive employee benefits and perks, with regional details provided separately.
- Potential eligibility for annual performance bonus and equity in addition to the base compensation.
Tech Stack
Categories
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.