Solutions Architect - Emerging Enterprise (Startups)

Databricks
San Francisco
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Communication","Presentation","Collaboration","Problem-solving"]

Customer-facing Solutions Architect role focusing on designing and advocating Databricks data/AI solutions for startups. You will lead technical architecture discussions, build reference architectures, and guide implementations across cloud platforms, while engaging with open-source projects like Spark, MLflow, and Delta Lake to deliver strategic business value.

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FursaFursa
Databricks
Databricks
3 years ago

Solutions Architect - Emerging Enterprise (Startups)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Customer-facing Solutions Architect role focusing on designing and advocating Databricks data/AI solutions for startups. You will lead technical architecture discussions, build reference architectures, and guide implementations across cloud platforms, while engaging with open-source projects like Spark, MLflow, and Delta Lake to deliver strategic business value.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks
  • •Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
  • •Build and present reference architectures, technical guides, and demo applications for customers
  • •Provide escalated support for critical customer operational issues
  • •Become an expert in, and evangelize Databricks driven open-source projects (Apache Spark, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars
Travel: Medium travel

Key Requirements

  • •5+ years in a customer-facing pre-sales, technical architecture, or consulting role
  • •Experience designing and architecting distributed data systems
  • •Comfortable programming in and debugging at least one of Python, Scala, Java, SQL, or R
  • •Have built solutions with public cloud providers, such as AWS, Azure, or GCP
  • •Experience in Data Engineering technologies (e.g., Spark, Hadoop, Kafka) or Data Warehousing (e.g., SQL) or Data Science/ML (e.g., pandas, scikit-learn)
Experience:5+ yearsData engineeringData analyticsData scienceMachine learningCloud
Skills:CommunicationPresentationCollaborationProblem-solving
Certifications:Databricks Certification
Languages:English
Tech Stack:Apache SparkMLflowDelta LakeKoalasPythonScalaJavaSQLRAWSAzureGCPKafkaHadoop

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