Senior Databricks Engineer/Architect
At Virtasant · USA; Austin, United States
- Engineering
- Senior
See how well you match Match me reads your CV and picks the jobs that suit you best.
Get jobs like this within hours Radar emails you new jobs open to you within hours of us finding them, before most people see them.
Where you can work from
Open to the United States
“USA”
From the location.
“Austin, United States”
From the job board field.
“Location: Remote in US”
From the job description.
Report a mistake
- Posted
- 13 November 2026
- First seen by us
- 14 November 2026
- Last checked
- 18 hours ago
Job description
From Virtasant’s job post, as they wrote it.
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.
Read the full description
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.
Senior Databricks Engineer/ArchitectVirtasant
Apply on Virtasant (opens in a new tab)Get jobs like this by email
Once a week, we email the new remote jobs open where you live, each with the line that proves it. Every email has a one-click unsubscribe.