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Solutions Architect - Digital Native BusinessDatabricks · United States
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Databricks

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Solutions Architect - Digital Native Business

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🗓️ Posted 2026-08-18 United States Hybrid ICT
💰 Salary Not shared 📊 Market NA

About the Company

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 - rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool). Software Development Specialties: Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, AI/ML Ops

Responsibilities

  • ● Shape the future of the big data landscape by working with sophisticated data engineering and data science teams.
  • ● Collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs.
  • ● Guide customers through the competitive landscape, best practices, and implementation.
  • ● Develop technical champions along the way.
  • ● 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.

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 one of the following: Data Engineering technologies.