Solutions Architect - Strat Media

Databricks
San Francisco
Workplace: RemoteFull timeUSD 180,000 - 247,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Technical advisory","Leadership"]

Own the end-to-end technical strategy for enterprise customer accounts, from initial discovery through production deployment and adoption growth. Lead complex architecture discussions across data engineering, ML/AI, and real-time analytics, serving as a trusted advisor to technical and executive stakeholders. Demonstrate Databricks’ differentiation in competitive scenarios, orchestrate cross-functional technical teams, and influence product direction with structured customer feedback while developing a deep specialization in an archetype domain.

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FursaFursa
Databricks
Databricks
2 days ago

Solutions Architect - Strat Media

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Own the end-to-end technical strategy for enterprise customer accounts, from initial discovery through production deployment and adoption growth. Lead complex architecture discussions across data engineering, ML/AI, and real-time analytics, serving as a trusted advisor to technical and executive stakeholders. Demonstrate Databricks’ differentiation in competitive scenarios, orchestrate cross-functional technical teams, and influence product direction with structured customer feedback while developing a deep specialization in an archetype domain.
Location: San Francisco
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 to design 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 and provide structured feedback to influence product direction based on customer requirements and gaps.
Travel: High travel

Pay and Benefits

Salary: USD 180,000 - 247,500 annually
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, demonstrated via live coding, debugging, and solution-building.
  • •Deep 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 a developing specialization (e.g., real-time/streaming, ML/AI, data governance, migrations).
  • •Experience leading architecture discussions with senior technical stakeholders (whiteboarding, design reviews, trade-off analysis).
Experience:6+ yearsData engineeringTechnical pre-salesDistributed systemsCloudData and AI
Education:Bachelor's in Computer Science, Engineering, or a quantitative discipline
Skills:CommunicationTechnical advisoryLeadership
Certifications:Databricks certifications (Data Engineer, ML, Platform)
Languages:English
Tech Stack:PythonSQLDatabricks PlatformAWSAzureGCPSnowflakeAzure 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