Solutions Architect (Media, Entertainment and Agencies)

Databricks
London
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Strategic thinking","Stakeholder management","Problem-solving"]

Lead the technical strategy for named customer accounts, from discovery through production deployment and growing consumption. Run complex architecture discussions spanning data engineering, ML/AI, and real-time analytics, and act as a trusted advisor to customer architects and engineering leaders. Drive technical wins in competitive situations, develop a specialized “archetype,” orchestrate cross-functional resources, and provide structured feedback that influences product direction. Deliver solutions on Databricks’ platform with strong coding and cloud architecture expertise.

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FursaFursa
Databricks
Databricks
2 days ago

Solutions Architect (Media, Entertainment and Agencies)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Lead the technical strategy for named customer accounts, from discovery through production deployment and growing consumption. Run complex architecture discussions spanning data engineering, ML/AI, and real-time analytics, and act as a trusted advisor to customer architects and engineering leaders. Drive technical wins in competitive situations, develop a specialized “archetype,” orchestrate cross-functional resources, and provide structured feedback that influences product direction. Deliver solutions on Databricks’ platform with strong coding and cloud architecture expertise.
Location: London
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own end-to-end technical strategy for customer accounts from discovery to production deployment and consumption growth.
  • •Lead complex architecture discussions for 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.
  • •Demonstrate Databricks differentiation in competitive scenarios through custom-built solutions.
  • •Orchestrate cross-functional resources (DSAs, SSAs, Partners) and provide structured feedback to influence product direction.

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 designing distributed data system architectures (scalable pipelines, streaming, lakehouse patterns, cloud-native data platforms).
  • •Proficient in the Databricks Platform (or able to become proficient quickly) with a developing specialization (e.g., real-time/streaming, ML/AI, data governance, migrations).
  • •Experience leading architecture discussions with senior technical stakeholders and delivering production deployments on public cloud (AWS, Azure, or GCP).
Experience:DataAICloudPre-sales
Skills:CommunicationStrategic thinkingStakeholder managementProblem-solving
Certifications:Data EngineerMLPlatform
Languages:English
Tech Stack:PythonSQLDatabricks PlatformAWSAzureGCPLakehouseUnity CatalogGenieLakebaseAgent BricksLakeflowReal-time/streamingML/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