Sr. Forward Deployed Engineer (FDE) - Public Sector
About the role
The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on-site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.
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
- Own the architecture, leading 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
Requirements
- 6+ 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
- 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
- Travel to customers 20% of the time
Qualifications
- Databricks Certification
Skills
- Technical expertise in data engineering, data platforms & analytics, or software engineering
- Strong coding skills in Python, Scala, JavaScript/TypeScript, and modern frameworks
- Knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP)
- Experience with distributed computing with Apache Spark™ and Spark runtime internals
- Experience with CI/CD for production deployments
- Experience with technical project delivery - managing scope, timelines and measurable outcomes
- Experience working with enterprise clients and managing conflicts across a broad stakeholder range
- Ability to build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies
Benefits
- Comprehensive benefits and perks tailored to meet the needs of all employees
Pay
- Pay range varies by location, ranging from $182,000 to $250,208 USD
Schedule
- Travel to customers 20% of the time
Contact Information
- For more information regarding which range your location is in visit our page here.
Company Overview
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.
Equal Opportunity Employer
We are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.