Solutions Architect

Databricks
Singapore
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: mastersSkills: ["Communication","Strategic thinking","Technical advising","Stakeholder management","Problem-solving"]

Own end-to-end technical strategy for customer accounts, from discovery to production deployment and consumption growth. Lead complex architecture discussions across data engineering, ML/AI, and real-time analytics, acting as a trusted advisor to customer architects and engineering leaders. Drive technical wins using Databricks differentiation, develop a domain specialization, and coordinate cross-functional teams to deliver comprehensive solutions while feeding back requirements and competitive gaps.

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FursaFursa
Databricks
Databricks
1 day ago

Solutions Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Own end-to-end technical strategy for customer accounts, from discovery to production deployment and consumption growth. Lead complex architecture discussions across data engineering, ML/AI, and real-time analytics, acting as a trusted advisor to customer architects and engineering leaders. Drive technical wins using Databricks differentiation, develop a domain specialization, and coordinate cross-functional teams to deliver comprehensive solutions while feeding back requirements and competitive gaps.
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 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 influence product direction with structured feedback.

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, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
  • •Proficiency on the Databricks Platform (or ability to achieve proficiency quickly) with developing specialization in an area such as real-time/streaming, ML/AI, data governance, or migrations.
  • •Experience leading architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
Experience:6+ yearsData engineeringTechnical pre-salesDistributed systemsData/AICloud
Education:Master's
Skills:CommunicationStrategic thinkingTechnical advisingStakeholder managementProblem-solving
Certifications:Databricks Data EngineerDatabricks MLDatabricks Platform
Languages:English
Tech Stack:PythonSQLDatabricks PlatformLakehouseUnity CatalogGenieLakebaseAgent BricksLakeflowAWSAzureGCPSnowflakeAzure Synapse

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