Senior Forward Deployed Engineer

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Collaborate with clients to create and implement solutions addressing their data and AI challenges utilizing the Databricks platform.

• Take ownership of architecture, lead design choices, and execute end-to-end systems encompassing data engineering, AI, and application development.

• Work collaboratively across teams to define long-term strategic priorities and initiatives in partnership with engineering, product, and developer relations.

• Integrate with client systems, offer training, and meet other technical requirements to enhance customer value derived from data.

• Spearhead customer technical projects by delivering production-ready systems, reference architectures, customized applications, data ingestion, and ML/AI model integration.

• Guide strategic customers through the comprehensive design, construction, and deployment of big data and AI applications.

• Collaborate with engagement managers to define the technical delivery scope based on customer feedback.

• Advise customers on architecture and design; either bootstrap or implement customer projects.

• Direct architecture and design choices to ensure the development of secure, scalable solutions that meet customer needs and conform to Databricks best practices.

• Partner with Databricks technical teams, Project Managers, Architects, and customer teams to deliver components of the engagement.

• Work alongside Engineering and Databricks Customer Support to provide product and implementation insights and address engagement-specific challenges.

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

• Contribute to accelerators, frameworks, and best practices that enhance impact across accounts and shape the Databricks product roadmap.

⛳️ Requirements

• Over 6 years of experience in data engineering, data platforms & analytics, or software engineering.

• Proficient in coding in either Python, Scala, JavaScript/TypeScript, and modern frameworks.

• Familiarity with two or more major Cloud ecosystems (AWS, Azure, GCP), with in-depth expertise in at least one.

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

• Knowledge of CI/CD practices for production deployments.

• Proficient in MLOps, ML/AI models, and AI APIs.

• Design and deployment experience of high-performing, end-to-end production data architectures and applications that integrate data pipelines, ML/AI models, and user-facing interfaces.

• Proven experience in technical project delivery, including scope management, timelines, and measurable outcomes.

• Capability to translate intricate concepts into actionable solutions.

• Strong documentation and white-boarding skills.

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

• Demonstrated curiosity, adaptability, and enthusiasm for exploring new technologies that support Databricks-based solutions.

• Willingness to travel to customer locations 20% of the time.

• Databricks Certification is required.

🏝️ Benefits

• Eligibility for an annual performance bonus.

• Equity options.

• Comprehensive benefits and perks; specific regional details are available through Databricks benefits information.