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Open nowPosted 5 hours ago

Senior Databricks Engineer/Architect

Virtasant19 open roles

Where
Austin, United States
Work mode
Remote
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Your applicationOpen nowSenior Databricks Engineer/ArchitectVirtasant · Austin, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Virtasant's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

14.0% of postings close within 7 days. Measured by our own scanner across the market. Virtasant postings stay open a median of 28 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 14.0%7 days
  4. 22.5%14 days
  5. 38.3%30 days
  6. 59.0%60 days
This job: posted 5 hours ago

Virtasant median: 28 days open

The posting

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.
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