Note: The job is a remote job and is open to candidates in USA. Databricks is a data and AI company that provides infrastructure for data teams and customers. The Sr. Forward Deployed Engineer will work with federal government customers to build and productionize data and AI solutions, owning architecture, leading design decisions, and implementing end-to-end systems. The role also involves customer integration, training, technical project delivery, and contributing reusable engineering assets.
Responsibilities
- 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
- 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
- Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
- Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices
- 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
- Work with Engineers and Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues
- Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact
- Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap
Skills
- U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information
- This role is hybrid and has a requirement to travel to customer locations 20-25% of the time
- 6+ years experience in data engineering, data platforms & analytics, or software engineering
- Fluency in writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps, ML/AI models and AI APIs
- Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces
- Experience with technical project delivery, documentation and white-boarding skills
- Experience working with enterprise clients and managing conflicts across a broad stakeholder range
- Candidates with an active Secret or higher clearance are strongly encouraged to apply
- Expertise in MLOps, ML/AI models, and AI APIs
- Databricks Certification
Benefits
- Eligibility for annual performance bonus
- Equity
- Hybrid work arrangement
Company Overview