Sr. Forward Deployed Engineer

AI Chopping Block, Inc.; City of Melbourne, Sydney; Remote; AUD 180,000 - 240,000; Full time

Job summary

Databricks is seeking a Sr. Forward Deployed Engineer to join the Professional Services team.

You will collaborate with clients on engagements addressing large-scale data challenges using the Databricks platform, delivering data engineering, data science, and cloud projects while ensuring excellent customer outcomes. You will guide strategic customers through end-to-end design, build and deployment of cutting-edge big data and AI applications, and travel 20-30% to client sites to ensure

Qualifications

• 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

Responsibilities

• Work on a variety of impactful customer technical projects including reference architectures, how-to's and production grade MVPs/Greenfield projects.
• Guide strategic customers as they implement big data projects, including end-to-end design, build and deployment of AI applications.
• Consult on architecture and design; bootstrap or implement strategic customer projects for successful adoption of Databricks.
• Provide escalated support for customer operational issues.
• Collaborate with Databricks technical team, Project Manager, Architect and Customer team to deliver engagements.
• Provide feedback to Engineering and Support to guide rapid resolution for engagement issues.

Skills

Spark

Kafka

Cloud-native

Data Lakes

Python

Scala

Project delivery

Customer collaboration

Travel readiness

Tools

Databricks Platform

Job description

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.