Sr. Forward Deployed Engineer (FDE) - Digital Native Business

Databricks
United States
Workplace: RemoteFull timeUSD 180,656 - 248,360 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Problem-solving","Customer service","Stakeholder management"]

Senior Big Data Solutions Architect in Databricks’ Professional Services leads customer engagements delivering data engineering, data science, and cloud-enabled projects using the Databricks platform. You’ll design reference architectures, guide deployments, and work with clients and internal teams to ensure successful adoption of Databricks, traveling up to 20% and coordinating with engagement managers and architects across cloud environments.

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FursaFursa
Databricks
Databricks
4 months ago

Sr. Forward Deployed Engineer (FDE) - Digital Native Business

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Senior Big Data Solutions Architect in Databricks’ Professional Services leads customer engagements delivering data engineering, data science, and cloud-enabled projects using the Databricks platform. You’ll design reference architectures, guide deployments, and work with clients and internal teams to ensure successful adoption of Databricks, traveling up to 20% and coordinating with engagement managers and architects across cloud environments.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Lead and guide customer engagements to design, build, and deploy end-to-end data architectures and AI applications on the Databricks platform.
  • •Collaborate with engagement managers, architects and client teams to scope professional services work and deliver on customer requirements.
  • •Provide architectural consultation and hands-on execution to ensure successful adoption and value realization for transformbig data projects.
  • •Offer escalated support for customer operational issues and coordinate with Engineering and Customer Support for rapid issue resolution.
  • •Document, present and transfer knowledge; participate in workshops and design sessions to ensure repeatable best practices across projects.
Travel: Medium travel

Pay and Benefits

Salary: USD 180,656 - 248,360 annually

Key Requirements

  • •6+ years experience in data engineering, data platforms & analytics.
  • •Comfortable writing code in either Python or Scala.
  • •Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
  • •Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals.
  • •Familiarity with CI/CD for production deployments.
Experience:6+ yearsBig dataData analyticsCloudData engineering
Skills:CommunicationProblem-solvingCustomer serviceStakeholder management
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaAWSAzureGCPApache SparkCI/CDMLOps

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