Solutions Architect - Communications, Media, Entertainment and Games

Databricks
Pennsylvania
Workplace: RemoteFull timeUSD 180,000 - 247,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Technical advising","Stakeholder management","Problem-solving","Strategic thinking"]

Own end-to-end technical strategy for customer accounts—from initial discovery through production deployment and adoption growth—by leading complex architecture discussions across data engineering, ML/AI, and real-time analytics. Serve as a trusted advisor to customer architects and engineering leads, drive wins in competitive scenarios, and develop an emerging technical specialization. Coordinate cross-functional resources and provide structured feedback to influence product direction.

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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

Job Summary

Own end-to-end technical strategy for customer accounts—from initial discovery through production deployment and adoption growth—by leading complex architecture discussions across data engineering, ML/AI, and real-time analytics. Serve as a trusted advisor to customer architects and engineering leads, drive wins in competitive scenarios, and develop an emerging technical specialization. Coordinate cross-functional resources and provide structured feedback to influence product direction.
Location: Pennsylvania
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own the end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
  • •Lead complex architecture discussions by designing scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics.
  • •Act as a trusted technical advisor to customer architects, engineering leads, and Directors.
  • •Drive technical differentiation in competitive scenarios using custom-built solutions.
  • •Coordinate cross-functional resources (DSAs, SSAs, Partners) and provide structured feedback to improve product direction.

Pay and Benefits

Salary: USD 180,000 - 247,500 annually

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, with demonstrated live coding, debugging, and solution-building ability.
  • •Deep expertise in distributed data systems architecture, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
  • •Experience with the Databricks Platform (or ability to achieve proficiency quickly) with developing specialization in areas like real-time/streaming, ML/AI, data governance, or migrations.
  • •Production deployment experience on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations.
Experience:6+ yearsData engineeringPre-salesData and AICloudDistributed systems
Education:Bachelor's in Computer Science, Engineering, or a quantitative discipline
Skills:CommunicationTechnical advisingStakeholder managementProblem-solvingStrategic thinking
Certifications:Databricks certifications (Data Engineer, ML, Platform)
Languages:English
Tech Stack:PythonSQLDatabricks PlatformData engineeringML/AIReal-time analyticsDistributed data systemsStreamingLakehouse patternsCloud-native data platformsAWSAzureGCPSnowflakeAzure SynapseUnity CatalogLakeflowLakehouse

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