Senior Databricks Engineer/Architect
Virtasant is hiring a Senior Databricks Engineer/Architect for a remote role open to applicants in United States. Level rates it ; you can apply on Virtasant.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include Databricks.
- Level lists 18 other open roles at Virtasant.
- The role was posted in the last few days.
AI in this role
Senior Databricks Engineer/Architect
Job Type: 1099 contract, long-term & ongoing
Location: Remote in US
About Virtasant
Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries.
We help organizations modernize cloud platforms, improve engineering efficiency, and optimize cloud spend through architecture, automation, and FinOps best practices.
Our teams work directly with enterprise customers to identify inefficiencies, drive modernization efforts, and deliver measurable business outcomes.
What We're Looking For
Experienced Senior Data Engineer or Data Architect specializing in designing, developing, and optimizing scalable data pipelines using PySpark and Databricks.
Skilled in architecting and executing data migrations to Databricks, modernizing data platforms, and building robust ETL/ELT workflows that ensure data quality, performance, and reliability.
Adept at translating complex technical requirements into effective data solutions, collaborating with cross-functional teams, and presenting technical strategies, architecture designs, and project outcomes to business stakeholders and leadership.
What You'll Do
Design, develop, and maintain scalable, high-performance data pipelines.
Architect and lead data migration strategies to the Databricks platform.
Develop and optimize complex data transformations using PySpark.
Build and enhance ETL/ELT processes to support enterprise data initiatives.
Ensure data quality, integrity, scalability, and performance across data platforms.
Present technical solutions, migration roadmaps, and project progress to stakeholders.
Bridge the gap between technical teams and business stakeholders to align data solutions with organizational objectives.
How we rate this
Senior Databricks Engineer/Architect at Virtasant rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Databricks hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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