Forward Deployed Engineer (FDE) - Public Sector
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Overview
Join Databricks as a Forward Deployed Engineer to tackle data & AI challenges, leading impactful projects and delivering production-grade systems while working closely with customers. Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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.
- •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.
- •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.
Conditions
- •Travel to customers 20% of the time.
- •Databricks Certification.
- •The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.
- •Zone 1 Pay Range $152,900 — $210,155 USD.
- •Zone 2 Pay Range $152,900 — $210,155 USD.
- •Zone 3 Pay Range $152,900 — $210,155 USD.
- •Zone 4 Pay Range $152,900 — $210,155 USD.
Requirements
- •5+ years experience in data engineering, data platforms & analytics, or software engineering.
- •Comfortable writing code in either 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 - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
- •Documentation and white-boarding skills.
- •Experience working with enterprise clients and managing conflicts across a broad stakeholder range.
- •Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.