Sr. Forward Deployed Engineer
Work with clients on big data challenges using the Databricks platform as a Sr. Forward Deployed Engineer.
Posted by employer 23 hours ago
First seen on Joblaze 5 hours ago
Last verified on the company career page 5 hours ago
Skills & Technologies
What you'll build
- Build reference architectures
- Guide customers on big data projects
- Consult on architecture and design
- Provide support for operational issues
- Work with technical teams to deliver engagements
Must have
- 8+ years experience with Big Data Technologies
- Comfortable writing code in Python or Scala
- Experience with technical project delivery
Nice to have
- Databricks Certification
Practical constraints
- Travel to customers 20 - 30% of the time
Requirements
- Experience
- 8+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of Sr. Forward Deployed Engineer at Databricks, the individual will engage directly with clients to tackle their big data challenges through the Databricks platform, focusing on data engineering and cloud technology projects. Key skills include expertise in Apache Spark, Kafka, and proficiency in Python or Scala, alongside strong project management capabilities. This position is suited for seasoned professionals with over eight years of experience in customer-facing technical roles, particularly those with a background in consulting or technical architecture. The role involves collaboration with various teams to ensure successful project delivery and may require travel to client
Joblaze insights
- Listed today — first seen on Joblaze September 30, 2026. Last confirmed on Databricks's careers page September 30, 2026.
- This exact title is also open at 5 other locations at Databricks: Singapore, Singapore, Tokyo, Japan, San Francisco, California, United States, Chicago, Illinois.
Quick facts
- How much experience is required?
- At least 8 years of relevant experience for this Sr. Forward Deployed Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Apache Spark, Kafka, Python, Scala.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Sr. Forward Deployed Engineer role at Databricks.
From the original posting
CSQ427R96
As a Sr. Forward Deployed Engineer in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. FDEs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Sr. Manager, Professional Services.
The impact you will have:
- You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs / Greenfield projects
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
- Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
- Provide an escalated level of support for customer operational issues.
- You will 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
What we look for:
- 8+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role.
- Comfortable writing code in either Python or Scala.
- Experience with technical project delivery - managing scope and timelines.
- Documentation and white-boarding skills.
- Experience working with clients and managing conflicts.
- Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
- Travel to customers 20 - 30% of the time
- Nice to have: Databricks Certification
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.