Sr. Forward Deployed Engineer

Databricks
California
Workplace: RemoteFull timeUSD 182,000 - 250,208 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Customer empathy","Adaptability","Curiosity","Documentation","Stakeholder management"]

Build and productionize customer solutions for their data and AI challenges on the Databricks platform. Own end-to-end architecture and design decisions across data engineering, ML/AI integration, and application development, working cross-functionally with engineering, product, and developer relations. Deliver production-grade reference architectures and customer projects, guide stakeholders from technical ICs to executives, and contribute reusable accelerators that scale across accounts.

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FursaFursa
Databricks
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: 7 hours agoStatus: Live

Job Summary

Build and productionize customer solutions for their data and AI challenges on the Databricks platform. Own end-to-end architecture and design decisions across data engineering, ML/AI integration, and application development, working cross-functionally with engineering, product, and developer relations. Deliver production-grade reference architectures and customer projects, guide stakeholders from technical ICs to executives, and contribute reusable accelerators that scale across accounts.
Location: California
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead production solution delivery for customer technical projects, including reference architectures, custom applications, and data ingestion with ML/AI integration.
  • •Guide transformational big data and AI implementations from end-to-end design through deployment, scoped with engagement managers.
  • •Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • •Embed with customer teams and stakeholders to understand challenges, evaluate and drive adoption of Databricks solutions.
  • •Provide product and implementation feedback with engineering and customer support, and contribute reusable accelerators and best practices that scale across accounts.
Travel: Medium travel

Pay and Benefits

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

Key Requirements

  • •6+ years experience in data engineering, data platforms & analytics, or software engineering.
  • •Comfortable writing code in Python, Scala, and/or JavaScript/TypeScript with modern frameworks.
  • •Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP), with expertise in at least one.
  • •Deep experience with distributed computing and Apache Spark, including Spark runtime internals.
  • •Working knowledge of MLOps, ML/AI models, and AI APIs, plus production end-to-end data architecture delivery.
Experience:Data engineeringData platformsAnalyticsSoftware engineeringBig dataAI/MLEnterprise clients
Skills:Customer empathyAdaptabilityCuriosityDocumentationStakeholder management
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsML/AI modelsAI APIsDelta LakeMLflowLakehouse

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