Solutions Architect - Emerging Enterprise

Databricks
San Francisco
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 3+ yearsSkills: ["Communication","Presentation","Teamwork","Collaboration","Problem-solving"]

As a Solutions Architect at Databricks, you will lead customer engagements to design and advocate Data and AI solutions using the Databricks platform. You’ll collaborate with sales, build reference architectures, prototype solutions with open-source projects, and guide implementations across cloud providers, travel up to 30% (80%+ local to your region).

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FursaFursa
Databricks
Databricks
4 years ago

Solutions Architect - Emerging Enterprise

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Last checked: 1 hour agoStatus: Live

Job Summary

As a Solutions Architect at Databricks, you will lead customer engagements to design and advocate Data and AI solutions using the Databricks platform. You’ll collaborate with sales, build reference architectures, prototype solutions with open-source projects, and guide implementations across cloud providers, travel up to 30% (80%+ local to your region).
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

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: Low travel

Key Requirements

  • •3+ 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 at least one of the following: Data Engineering technologies (e.g., Spark, Hadoop, Kafka); Data Warehousing (e.g., SQL, OLTP/OLAP/DSS); Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO).
Experience:3+ yearsData analyticsCloud computingAIOpen source
Skills:CommunicationPresentationTeamworkCollaborationProblem-solving
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaSQLRSparkHadoopKafkaAWSAzureGCPDelta LakeMLflowKoalasPandasScikit-learn

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