Sr. Solutions Architect - AI Natives Business

Databricks · Remote (United States) · Field Engineering - FE Direct Emerging

senior software engineering Solutions Architect ic
$219,100 – $301,300
USD per year

About this role

Databricks is hiring a senior-level Solutions Architect in the software engineering function as a remote position. The posting calls out experience with Python, SQL, AWS, GCP. Compensation is listed at $219,100–$301,300 per year.

Role
Solutions Architect
Function
software engineering
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Remote (United States)
Work mode
Remote
Department
Field Engineering - FE Direct Emerging

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Job description

from Databricks careers

As a Solutions Architect on the AI native team supporting the Digital Natives business, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.

The impact you will have:

  • You will 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. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
  • Collaborate with your 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.

What we look for:

  • 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
    • This is an excerpt. Read the full job description on Databricks careers →
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