Hiring: Sr. Forward Deployed Engineer - National Security Company: Databricks Location: Washington, WV Job Posted Time: 2026-09-16 11:38:52 Employment Type: Contract / Hybrid Target Skills & Keywords : AWS, Azure, Bootstrap, CI/CD, Data Pipeline, Databricks, GCP, JavaScript, MLOps, Microsoft Excel, Project Management, Python, Scala, Secret Clearance, Spark, TypeScript, UI/UX About the job Experience: •6+ years experience in data engineering, data platforms & analytics, or software engineering Required Skills: •Please note: this role is hybrid and has a requirement to travel to customer locations 20-25% of the time •Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration •Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer •Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. •Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. •Deliver Technical Components: Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs •Cross-Collaborate: Work with Engineers and Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues •Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Qualifications: •Expertise in MLOps, ML/AI models, and AI APIs Compensation: •$182,000 - $250,208 / year •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!