mid software engineering Solutions Architect ic
$164,500 – $224,000
USD per year

About this role

Databricks is hiring a mid-level Solutions Architect in the software engineering function based in Toronto, Canada. The posting calls out experience with Python, Java, Scala, SQL. Compensation is listed at $164,500–$224,000 per year.

Role
Solutions Architect
Function
software engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Toronto, Canada
Department
Field Engineering

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Job description

from Databricks careers

P-225

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in eastern Canada

As a Solutions Architect at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager.

The impact you will have:

  • You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.
  • Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.
  • You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.
  • This is an excerpt. Read the full job description on Databricks careers →
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