Clera
via Ashby
Resident Solution Architect (Databricks)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked just now — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted just now
The date the source published, not the day we noticed it (2026-09-16). Last seen at its source just now.
Is it remote?
remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
North America
No source stated where this role may be worked. This is read from the ad's own words.
What the ad says
…open to candidates based anywhere in North America…
Pay
$80/hr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen just now · last seen just now
- location not stated
The listing
About the Role
This is a senior, hands-on Solution Architect role focused on Databricks, sitting within a data infrastructure and analytics practice that serves complex enterprise clients. You will own end-to-end Databricks implementations and translate deep platform expertise into scalable, production-ready data lakehouse solutions that directly drive client outcomes.
What You'll Do
Lead and deliver Databricks implementation projects at enterprise scale, from architecture design through production deployment.
Apply strong hands-on expertise in Apache Spark and distributed computing, including Spark runtime internals, to solve complex data engineering challenges.
Design and optimize large-scale data platforms for performance, scalability, and reliability across major cloud environments.
Establish and apply CI/CD pipeline best practices for production data platform deployments.
Integrate MLOps patterns into data platform solutions where appropriate.
Advise clients on Databricks Lakehouse Platform capabilities, best practices, and roadmap alignment.
What We're Looking For
10+ years of consulting experience, including 7+ years focused on Data Engineering, Data Platforms, and Analytics.
Hands-on delivery of 6 to 8 or more Databricks implementation projects in a Solution Architect capacity.
Established Databricks Architect or Databricks Solution Architect background, not adjacent data engineering experience alone.
Strong expertise in Apache Spark and distributed computing, including internals.
Databricks Data Engineering Professional Certification (required or strongly preferred).
Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP; multi-cloud experience is a plus.
Solid understanding of CI/CD pipelines for production deployments.
Working knowledge of MLOps practices.
Experience with performance tuning, optimization, and scalability of large-scale data platforms.
Must be authorized to work in the United States without visa sponsorship (W2 contract).
Compensation & Benefits
Up to $80/hr on W2. No visa sponsorship available.
Location
Fully remote, open to candidates based anywhere in North America.