Senior Forward Deployed Engineer - Public Sector

Responsibilities

• Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.
• Guide strategic customers through the design, build, and deployment of big data and AI applications.
• Scope technical delivery work with engagement managers and customers.
• Advise customers on architecture and design, and bootstrap or implement projects that support successful evaluation and adoption of the Databricks platform.
• Own architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
• Collaborate with Databricks technical teams, project managers, architects, and customer teams to deliver technical engagement components.
• Work with Engineering and Customer Support to provide product and implementation feedback and resolve engagement-specific issues.
• Embed with customer teams and engage stakeholders ranging from technical individual contributors to executives.
• Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the product roadmap.

Requirements

• 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
• Ability to write code in Python, Scala, JavaScript, or TypeScript, and use modern frameworks.
• Working knowledge of at least two cloud ecosystems among AWS, Azure, and Google Cloud, with expertise in at least one.
• Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps, machine learning and 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.
• Experience delivering technical projects, including managing scope and timelines, measuring outcomes, and translating complex concepts into actionable solutions.
• Documentation and whiteboarding skills.
• Experience working with enterprise clients and managing conflicts across broad stakeholder groups.
• Curiosity, adaptability, and eagerness to explore technologies that support deployment and integration of Databricks-based solutions.
• Ability to travel to customers 20% of the time.
• Databricks Certification.