Sr. Forward Deployed Engineer (FDE) - Public Sector

Databricks
United States
Workplace: RemoteFull timeUSD 182,000 - 250,208 annuallyFunction: Government & Public AdministrationEducation: bachelorsSkills: ["Customer service","Technical documentation","White-boarding","Project delivery","Conflict management","Collaboration","Architecture and design"]

Engage with public-sector customers on short-to-medium professional services projects using the Databricks platform. Deliver data engineering, data science, and cloud technology work that includes reference architectures, productionizing customer use cases, and end-to-end design, build, and deployment of big data and AI applications. Scope engagements with engagement managers, provide escalated operational support, and collaborate with technical and customer teams to ensure successful adoption, integration, and implementation feedback.

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FursaFursa
Databricks
Databricks
1 day ago

Sr. Forward Deployed Engineer (FDE) - Public Sector

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Engage with public-sector customers on short-to-medium professional services projects using the Databricks platform. Deliver data engineering, data science, and cloud technology work that includes reference architectures, productionizing customer use cases, and end-to-end design, build, and deployment of big data and AI applications. Scope engagements with engagement managers, provide escalated operational support, and collaborate with technical and customer teams to ensure successful adoption, integration, and implementation feedback.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Government & Public Administration
Seniority: Mid level

Key Responsibilities

  • •Lead billable customer engagements on big data challenges using the Databricks platform, delivering data engineering/data science/cloud projects.
  • •Design and build reference architectures and help create how-to materials while productionalizing customer use cases.
  • •Work with engagement managers to scope professional services work and guide customers through transformational big data projects and migrations.
  • •Consult on architecture and design; bootstrap or implement solutions to support customer evaluation and adoption of Databricks.
  • •Provide escalated support for customer operational issues and collaborate with technical/project/customer teams to deliver engagement components and feedback.
Travel: High travel

Pay and Benefits

Salary: USD 182,000 - 250,208 annually
Equity and Bonus:Equity

Key Requirements

  • •US Secret clearance required for this position.
  • •6+ years experience in data engineering, data platforms, & analytics.
  • •Comfort writing code in either Python or Scala.
  • •Expertise with distributed computing using Apache Spark, including Spark runtime internals.
  • •Working knowledge of CI/CD, MLOps, and designing/deploying performant end-to-end data architectures.
Experience:Data engineeringData platformsAnalyticsBig dataAIDistributed computingMLOpsCloud
Education:Bachelor's
Skills:Customer serviceTechnical documentationWhite-boardingProject deliveryConflict managementCollaborationArchitecture and design
Languages:English
Tech Stack:DatabricksPythonScalaAWSAzureGCPApache SparkCI/CDMLOpsDistributed computing

Eligibility

Security Clearance:Secret

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
WebsiteLinkedIn