Sr. Forward Deployed Engineer
Join Databricks as a Sr. Forward Deployed Engineer to tackle big data challenges and deliver impactful customer projects.
Skills & Technologies
Requirements
- Experience
- 8+ years
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. Proficiency in Apache Spark, Kafka, and coding in Python or Scala is essential, along with a strong background in technical project delivery and client management. This position is ideal for seasoned professionals with over eight years of experience in customer-facing technical roles, particularly those who thrive in dynamic environments and enjoy problem-solving.
Joblaze insights
- Listed today on Joblaze — tracked directly from Databricks's career page.
- Databricks has 810 other open roles including Resident Solutions Architect - Digital Native Business , Senior Specialist Solutions Engineer (AI/ML), Resident Solutions Architect - Digital Native Business .
- 2449 active Python roles on Joblaze right now.
- 381 active Scala roles on Joblaze right now.
- 232 active Apache Spark roles on Joblaze right now.
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, Python, Scala, Kafka.
- 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
CSQ327R248
As a Forward Deployed Engineer in our Forward Deployed Engineering 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, Forward Deployed Engineering.
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
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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, 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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.