Solutions Architect

Databricks
Singapore
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Technical advisory","Problem-solving","Leadership","Strategic thinking"]

Own end-to-end technical strategy for customer accounts, from discovery through production deployment and driving platform adoption. Lead complex architecture discussions across data engineering, ML/AI, and real-time analytics, and act as a trusted technical advisor to senior customer stakeholders. Develop a specialization in a domain area, coordinate cross-functional teams to deliver solutions, and influence product direction with structured customer feedback. Deliver competitive wins with tailored, scalable architectures on Databricks.

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FursaFursa
Databricks
Databricks
2 days ago

Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Own end-to-end technical strategy for customer accounts, from discovery through production deployment and driving platform adoption. Lead complex architecture discussions across data engineering, ML/AI, and real-time analytics, and act as a trusted technical advisor to senior customer stakeholders. Develop a specialization in a domain area, coordinate cross-functional teams to deliver solutions, and influence product direction with structured customer feedback. Deliver competitive wins with tailored, scalable architectures on Databricks.
Location: Singapore
Workplace: Onsite
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
  • •Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex needs
  • •Drive competitive wins by demonstrating Databricks differentiation through custom-built solutions and provide structured feedback to influence product direction

Key Requirements

  • •5+ 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 designing distributed data system architectures (scalable pipelines, streaming, lakehouse patterns, cloud-native platforms)
  • •Ability to develop and become proficient on the Databricks Platform, building a specialization in areas like real-time/streaming, ML/AI, data governance, or migrations
  • •Experience leading architecture discussions with senior technical stakeholders and handling production deployments on AWS, Azure, or GCP with security/governance considerations
Experience:5+ yearsData engineeringTechnical pre-salesDistributed data systemsStreamingLakehouseCloud-native platforms
Education:Bachelor's in Computer Science, Engineering, or a quantitative discipline
Skills:CommunicationTechnical advisoryProblem-solvingLeadershipStrategic thinking
Certifications:Databricks Data EngineerDatabricks MLDatabricks Platform
Languages:English
Tech Stack:PythonSQLDatabricks PlatformAWSAzureGCPDistributed systemsData pipelinesStreaming architecturesLakehouse patternsUnity CatalogGenieLakebaseAgent 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