Databricks

1 month ago

Sr. Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Senior, client-facing engineer delivering data engineering, data science, and cloud projects on the Databricks platform. Leads end-to-end engagements from architecture through deployment, guides customers through big data transformations, collaborates with product teams, and travels to client sites (~20-30%). Strong coding in Python/Scala and post-sales delivery experience required.

Location: Sydney

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead and deliver customer engagements on big data challenges using the Databricks platform, including reference architectures, MVPs, and greenfield projects.
•Provide data engineering, data science, and cloud technology solutions, coordinating with client systems, training, and technical tasks to maximize data value.
•Consult on architecture and design; bootstrap or implement strategic customer projects to drive adoption of Databricks.
•Provide escalated support for customer operational issues and guide rapid resolution for engagement-specific product and support issues.
•Collaborate with the Databricks technical team, Project Manager, Architect and Customer team to ensure technical components meet customer needs.

Travel: Low travel

Key Requirements

•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.
•Travel to customers 20-30% of the time (required). Nice to have: Databricks Certification.

Experience:8+ yearsBig dataDatabricksSparkKafkaCloudData lakes

Skills:PythonScalaCommunicationProblem-solvingCollaboration

Certifications:Databricks Certification

Languages:English

Tech Stack:Apache SparkKafkaPythonScalaCloudData LakesDatabricks

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 month ago

Sr. Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Sydney

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead and deliver customer engagements on big data challenges using the Databricks platform, including reference architectures, MVPs, and greenfield projects.
•Provide data engineering, data science, and cloud technology solutions, coordinating with client systems, training, and technical tasks to maximize data value.
•Consult on architecture and design; bootstrap or implement strategic customer projects to drive adoption of Databricks.
•Provide escalated support for customer operational issues and guide rapid resolution for engagement-specific product and support issues.
•Collaborate with the Databricks technical team, Project Manager, Architect and Customer team to ensure technical components meet customer needs.

Travel: Low travel

Key Requirements

•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.
•Travel to customers 20-30% of the time (required). Nice to have: Databricks Certification.

Experience:8+ yearsBig dataDatabricksSparkKafkaCloudData lakes

Skills:PythonScalaCommunicationProblem-solvingCollaboration

Certifications:Databricks Certification

Languages:English

Tech Stack:Apache SparkKafkaPythonScalaCloudData LakesDatabricks

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn