Solutions Architect - Real Money Gaming

Databricks
California
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: mastersSkills: ["Communication","Technical advisory","Problem-solving","Strategic thinking","Cross-functional collaboration"]

Lead technical strategy for named customer accounts from discovery through production deployment and adoption growth. Drive complex architecture discussions across data engineering, ML/AI, and real-time analytics, positioning Databricks as the foundation of customers’ data and AI strategy. Serve as a trusted advisor to architects and engineering leaders, orchestrating cross-functional teams and influencing product direction with structured customer feedback. Specialize in an emerging technical archetype and win technical deals in competitive scenarios.

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FursaFursa
Databricks
Databricks
1 day ago

Solutions Architect - Real Money Gaming

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Lead technical strategy for named customer accounts from discovery through production deployment and adoption growth. Drive complex architecture discussions across data engineering, ML/AI, and real-time analytics, positioning Databricks as the foundation of customers’ data and AI strategy. Serve as a trusted advisor to architects and engineering leaders, orchestrating cross-functional teams and influencing product direction with structured customer feedback. Specialize in an emerging technical archetype and win technical deals in competitive scenarios.
Location: California
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own end-to-end technical strategy for accounts from initial discovery through production deployment and consumption growth
  • •Lead complex architecture discussions designing scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics
  • •Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
  • •Drive technical wins in competitive scenarios by demonstrating Databricks differentiation through custom-built solutions
  • •Orchestrate cross-functional resources (DSAs, SSAs, Partners) and provide structured feedback to influence product direction
Travel: High travel

Key Requirements

  • •6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
  • •Strong coding proficiency in Python and SQL, including live coding, debugging, and solution-building
  • •Deep expertise in distributed data systems architecture (scalable pipelines, streaming architectures, lakehouse patterns, cloud-native data platforms)
  • •Proficiency with the Databricks Platform (or ability to achieve proficiency rapidly) with developing specialization (e.g., streaming, ML/AI, data governance, migrations)
  • •Experience leading architecture discussions with senior technical stakeholders (whiteboarding, design reviews, trade-off analysis)
Experience:6+ yearsData engineeringTechnical pre-salesDistributed systems
Education:Master's in Computer Science, Engineering, or a quantitative discipline
Skills:CommunicationTechnical advisoryProblem-solvingStrategic thinkingCross-functional collaboration
Certifications:Databricks certifications
Languages:En
Tech Stack:PythonSQLDatabricks PlatformAWSAzureGCPDistributed data systemsStreaming architecturesLakehouse patternsCloud-native data platformsUnity CatalogGenieLakehouseLakebaseAgent BricksLakeflow

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