Senior Forward Deployed Engineer

This is a fully remote position, open to applicants in Alabama, +17 more states.

📋 Description

• Oversee customer technical projects by delivering production-quality systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations.

• Assist federal, state, and local government clients in navigating transformational big data and AI initiatives, encompassing end-to-end design, construction, and deployment.

• Collaborate with engagement managers to define the technical delivery workload based on client feedback.

• Advise clients on architecture and design; initiate or implement projects that promote Databricks adoption.

• Take ownership of architecture and design choices to guarantee secure, scalable solutions that align with client requirements and Databricks best practices.

• Partner with Databricks technical teams, project managers, architects, and client teams to deliver technical components effectively.

• Work alongside engineers and customer support to provide product and implementation insights and address engagement-specific challenges.

• Integrate with client teams and engage stakeholders ranging from technical contributors to executives.

• Contribute to accelerators, frameworks, and best practices that can be scaled across accounts and impact the Databricks product roadmap.

• Develop and productionize data and AI solutions utilizing the Databricks platform.

⛳️ Requirements

• Eligibility to obtain a U.S. government Public Trust, Secret, and/or Top Secret clearance for access to classified information; candidates who are interested and eligible for an active Public Trust or higher clearance are highly encouraged to apply.

• More than 5 years of experience in data engineering, data platforms & analytics, or software engineering.

• Proficiency in coding with Python, Scala, JavaScript/TypeScript, and modern frameworks.

• Familiarity with at least two common cloud ecosystems (AWS, Azure, GCP), with expertise in at least one.

• Extensive experience with distributed computing using Apache Spark and a solid understanding of Spark runtime internals.

• Knowledge of CI/CD processes for production deployments.

• Working knowledge of MLOps, ML/AI models, and AI APIs.

• Proven experience in designing and deploying efficient production end-to-end data architectures and applications that integrate data pipelines, ML/AI models, and user-facing interfaces.

• Experience in technical project delivery, documentation, and white-boarding.

• Experience collaborating with enterprise clients and managing conflicts among a diverse range of stakeholders.

• Willingness to travel 25% to client sites.

• Preferred: Over 8 years of experience, Databricks Certification, and expertise in MLOps, ML/AI models, and AI APIs.

🏝️ Benefits

• Eligibility for annual performance bonuses.

• Equity eligibility.

• Comprehensive benefits and perks (specific regional details provided by Databricks).