Solutions Architect - Digital Native Business

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

Solutions Architect on the Digital Natives team shapes the big data landscape by collaborating with sophisticated data engineering and data science teams to design architectures and solutions using the Databricks platform and APIs. You’ll guide customers through best practices, build technical champions, and work with sales, product, and customer teams to validate integrations and drive strategic projects.

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FursaFursa
Databricks
Databricks
4 years ago

Solutions Architect - Digital Native Business

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Solutions Architect on the Digital Natives team shapes the big data landscape by collaborating with sophisticated data engineering and data science teams to design architectures and solutions using the Databricks platform and APIs. You’ll guide customers through best practices, build technical champions, and work with sales, product, and customer teams to validate integrations and drive strategic projects.
Location: United States, San Francisco
Workplace: Remote
Employment Type: Full time · Permanent
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
  • •Consult on Big Data architectures, implement proof of concepts for strategic projects spanning data engineering, data science and machine learning, and SQL analysis workflows; validate integrations with cloud services, home grown tools, and other 3rd party applications.
  • •Collaborate with fellow Solutions Architects, using your skills to support each other and our users.
  • •Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
  • •Travel to customer sites to support regional engagements and delivery.
Travel: Low travel

Key Requirements

  • •5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
  • •Experience building distributed data systems
  • •Comfortable programming in, and debugging, Python and SQL
  • •Have built solutions with public cloud providers such as AWS, Azure, or GCP
  • •Expertise in Data Engineering technologies (Spark, Hadoop, Kafka) or Data Science and Machine Learning technologies (pandas, scikit-learn, pytorch, Tensorflow)
Experience:5+ yearsData engineeringData sciencePre-sales
Skills:CommunicationCollaborationProblem-solving
Certifications:Databricks Certification
Languages:English
Tech Stack:SparkHadoopKafkaPythonSQLAWSAzureGCPPandasScikit-learnPytorchTensorFlow

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