Solutions Architect - Strat Media

Databricks
San Diego, California
Workplace: RemoteFull timeUSD 180,000 - 247,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Strategic thinking","Stakeholder management","Technical advisory"]

Own the end-to-end technical strategy for customer accounts, from discovery through production deployment and consumption growth. Lead complex architecture discussions for data engineering, ML/AI, and real-time analytics, positioning the platform as the foundation of customers’ data and AI strategy. Serve as a trusted advisor to architects and technical leaders, drive technical wins in competitive scenarios, and coordinate cross-functional resources to deliver comprehensive solutions.

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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 customer accounts, from discovery through production deployment and consumption growth. Lead complex architecture discussions for data engineering, ML/AI, and real-time analytics, positioning the platform as the foundation of customers’ data and AI strategy. Serve as a trusted advisor to architects and technical leaders, drive technical wins in competitive scenarios, and coordinate cross-functional resources to deliver comprehensive solutions.
Location: San Diego, California
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 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 and engineering leaders, driving technical wins in competitive scenarios.
  • •Develop and declare an emerging technical specialization (archetype) and become a go-to resource for the team in that domain.
  • •Orchestrate cross-functional resources (DSAs, SSAs, Partners) and influence product direction through structured customer feedback.
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, with experience demonstrating 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 developing specialization (e.g., real-time/streaming, ML/AI, data governance, migrations).
  • •Experience leading architecture discussions with senior stakeholders, including whiteboarding, design reviews, and trade-off analysis.
Experience:6+ yearsData engineeringML/AIReal-time analyticsDistributed data systemsCloud-native data platforms
Education:
Skills:CommunicationStrategic thinkingStakeholder managementTechnical advisory
Certifications:Data EngineerMLPlatform
Languages:En
Tech Stack:PythonSQLDatabricks PlatformLakehouseUnity CatalogAWSAzureGCPSnowflakeAzure 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