Solutions Architect - Communications, Media, Entertainment and Games

Databricks
San Francisco
Full timeUSD 180,000 - 247,500Function: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Trusted advisory","Technical leadership","Stakeholder alignment","Trade-off analysis"]

Own end-to-end technical strategy for named customer accounts, from discovery to production deployment and adoption growth. Lead complex architecture discussions across data engineering, ML/AI, and real-time analytics, and act as a trusted advisor to customer architects and engineering leadership. Win competitive scenarios by demonstrating Databricks differentiation, develop an evolving technical specialization, and coordinate cross-functional resources to deliver scalable, cloud-native solutions.

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FursaFursa
Databricks
Databricks
2 days ago

Solutions Architect - Communications, Media, Entertainment and Games

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Own end-to-end technical strategy for named customer accounts, from discovery to production deployment and adoption growth. Lead complex architecture discussions across data engineering, ML/AI, and real-time analytics, and act as a trusted advisor to customer architects and engineering leadership. Win competitive scenarios by demonstrating Databricks differentiation, develop an evolving technical specialization, and coordinate cross-functional resources to deliver scalable, cloud-native solutions.
Location: San Francisco
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own the end-to-end technical strategy for accounts from 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 to deliver comprehensive solutions and provide structured feedback to influence product direction.

Pay and Benefits

Salary: USD 180,000 - 247,500
Equity and Bonus:Equity

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.
  • •Expertise in distributed data systems architecture (scalable pipelines, streaming architectures, lakehouse patterns, cloud-native data platforms).
  • •Proficiency on the Databricks Platform (or ability to achieve it quickly) with developing specialization (e.g., streaming/real-time, ML/AI, data governance, migrations).
  • •Experience leading architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
Experience:6+ yearsData engineeringML/AIReal-time analyticsData and AICloudPre-sales
Education:
Skills:CommunicationTrusted advisoryTechnical leadershipStakeholder alignmentTrade-off analysis
Certifications:Databricks Data EngineerDatabricks MLDatabricks Platform
Languages:English
Tech Stack:PythonSQLDatabricks PlatformAWSAzureGCPSnowflakeAzure SynapseLakehouseStreamingML/AIData governance

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