Staff Forward Deployed Engineer
Databricks · USCA · Professional Services Operations · listed November 5, 2026
The shape of it
Seniority
Staff
Experience asked
3–7 years
Where
Hybrid
Stated pay
$219,765 – $302,220 USD
Requirements listed
9
Length
1,050 words
In the posting’s own words
Please note: this role is hybrid and has a requirement to travel to customer locations 20-25% of the time. It requires an active Secret or Top Secret clearance OR the willingness and eligibility to obtain one.
What it asks for · 9
- 7+ years experience in data engineering, data platforms & analytics, or software engineering
- Expertise working with code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
- Experience with 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
- Experience owning large-scale projects impacting multiple teams and BUs independently and work with account teams to grow Databricks consumption
- Deliver quantifiable impact outside of the immediate team
- 3+ years of experience with 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 at the Director level or above, including managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions
Also a plus
- Experience working with enterprise clients at the C-level level and above and managing conflicts across a broad transformational path and 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
- Databricks Certification
What the job covers
- Production Solution Delivery: Lead cross-functional execution for complex engagements, coordinating with FDE engagement teams, Sales, Product/Engineering, xSAs and Partner teams to remove roadblocks and scale best practices. Develop frameworks and tools adopted beyond the immediate team and influences Product and Engineering by surfacing platform gaps and roadmap priorities.
- Transformational Impact: 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
- Empower Customers: 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: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
- Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
- Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
- Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.
Tools and skills named
Data
- Databricks9×
- Spark3×
- Data pipelines
Languages
- JavaScript
- Python
- Scala
- TypeScript
Cloud & infra
- AWS
- Azure
- GCP
Models & research
- Machine learning2×
Product & design
- Roadmap2×
Ways of working
- Cross-functional
- Mentorship
Words the posting leans on
- customer21×
- technical10×
- data8×
- experience7×
- projects7×
- engagement6×
- engineering6×
- impact6×
- design5×
- fdes5×
- platform5×
- product5×
- solutions5×
- architecture4×
- lead4×
- accounts3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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