mid software engineering Solutions Architect ic
$180,656 – $248,360
USD per year

About this role

Databricks is hiring a mid-level Solutions Architect in the software engineering function based in Chicago, IL. The posting calls out experience with Python, Scala, AWS, GCP. Compensation is listed at $180,656–$248,360 per year.

Role
Solutions Architect
Function
software engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Chicago, IL
Department
Professional Services Operations

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Job description

from Databricks careers

CSQ127R310

Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

  • You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
  • Work with engagement managers to scope variety of professional services work with input from the customer
  • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • This is an excerpt. Read the full job description on Databricks careers →
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