Solutions Architect - Strategic High Tech

Databricks
San Francisco, California
Workplace: RemoteFull timeUSD 180,000 - 247,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Technical leadership","Collaboration","Problem-solving","Debugging"]

Serve as a Strategic Solutions Architect on the Digital Natives team, shaping big data solutions for large AI-native customers. Partner with sales and customer/product stakeholders to design architectures using Databricks platforms and APIs, lead technical guidance, and deliver proof-of-concepts spanning data engineering, data science/ML, and SQL analytics. Validate integrations across cloud services and third-party tools, and help grow technical champions and open-source communities (Spark, Delta Lake, MLflow).

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FursaFursa
Databricks
Databricks
1 day ago

Solutions Architect - Strategic High Tech

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Last checked: 3 hours agoStatus: Live

Job Summary

Serve as a Strategic Solutions Architect on the Digital Natives team, shaping big data solutions for large AI-native customers. Partner with sales and customer/product stakeholders to design architectures using Databricks platforms and APIs, lead technical guidance, and deliver proof-of-concepts spanning data engineering, data science/ML, and SQL analytics. Validate integrations across cloud services and third-party tools, and help grow technical champions and open-source communities (Spark, Delta Lake, MLflow).
Location: San Francisco, California
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with sales to provide technical leadership and help customers understand how Databricks solves their business problems
  • •Consult on big data architectures and implement proof-of-concepts for strategic projects across data engineering, data science, and machine learning, including SQL workflows
  • •Guide and support a major AI-native customer through the competitive landscape, best practices, and implementation
  • •Validate integrations with cloud services, homegrown tools, and third-party applications
  • •Collaborate with fellow Solutions Architects to support each other and develop technical champions; promote and recruit contributors for open-source projects (Spark, Delta Lake, MLflow)
Travel: Low travel

Pay and Benefits

Salary: USD 180,000 - 247,500 annually

Key Requirements

  • •5+ years in data engineering, data science, technical architecture, or a similar pre-sales/consulting role
  • •Experience building distributed data systems
  • •Comfortable programming in and debugging Python and SQL
  • •Built solutions with public cloud providers such as AWS, Azure, or GCP
  • •Expertise in data engineering technologies (e.g., Spark, Hadoop, Kafka) and/or data science/ML technologies (e.g., pandas, scikit-learn, PyTorch, TensorFlow)
Experience:5+ years
Education:
Skills:Technical leadershipCollaborationProblem-solvingDebugging
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonSQLAWSAzureGCPSparkHadoopKafkaPandasScikit-learnPyTorchTensorFlowDelta LakeMLflow

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