Sr. Forward Deployed Engineer

Databricks
Melbourne +1 more
On-siteCareer-pivot friendly

Who this role is best for

Best suited to experienced engineers with a background in big data and cloud technologies, working in client-facing consulting roles.

Best fit for

  • Candidates with 8+ years of Big Data experience and a consulting or post-sales background
    — “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.”
  • Individuals comfortable with writing code in Python or Scala and managing technical project timelines
    — “Comfortable writing code in either Python or Scala.”

Things to consider

  • The role involves significant travel, with 20-30% of time spent at client sites
    — “Travel to customers 20 - 30% of the time”
  • Candidates must be prepared to handle escalated customer issues and manage conflicts
    — “Experience working with clients and managing conflicts.”

How to stand out

  • Emphasize experience with end-to-end project delivery and client-facing technical implementations
    — “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.”
  • Highlight skills in documentation and white-boarding to demonstrate client guidance abilities
    — “Documentation and white-boarding skills.”
  • Showcase technical proficiency in integrating with client systems and delivering production-grade solutions
    — “Building reference architectures, how-to's and production grade MVPs / Greenfield projects.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful customer projects
  • technical support
  • product feedback
Typical background
technical architecture or consulting

Skills & requirements

Required

Big Data TechnologiesApache SparkKafkaCloud NativeData LakesCustomer EngagementTechnical Project DeliveryDocumentationWhite-boardingConflict Management

Preferred

Databricks Certification

Stack & domain

Big Data TechnologiesApache SparkKafkaCloud NativeData LakesCustomer-facingTechnical ArchitectureConsultingProject DeliveryDocumentationWhite-boardingClient ManagementConflict ManagementDatabricksProduct And Implementation FeedbackRapid ResolutionTechnical AreasDeployment And IntegrationDatabricks-based SolutionsCustomer ProjectsCommunicationTeamworkProblem-solvingAdaptabilityLeadershipAttention To DetailTime ManagementDatabricks CertificationBig DataCloudData ScienceAITechnical Consulting

About the role

Original posting from Databricks

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

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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.

Source: Databricks careers

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