Senior Databricks Engineer/Architect

Virtasant•Austin, TX
•Remote

About The Position

Virtasant is seeking an experienced Senior Data Engineer or Data Architect specializing in scalable data pipelines built with PySpark and Databricks. The role focuses on architecting and executing migrations to Databricks, modernizing data platforms, and building robust ETL/ELT workflows that ensure data quality, performance, and reliability. The successful candidate will translate complex technical requirements into effective data solutions, collaborate across teams, and present technical strategies, architecture designs, and project outcomes to business stakeholders and leadership. This is a long-term, ongoing 1099 contract role that is remote within the United States. Virtasant is a global technology services company with a network of more than 4,000 technology professionals across over 130 countries. It helps organizations modernize cloud platforms, improve engineering efficiency, and optimize cloud spend through architecture, automation, and FinOps practices.

Requirements

  • Experience as a Senior Data Engineer or Data Architect specializing in scalable data pipelines using PySpark and Databricks.
  • Skill in architecting and executing data migrations to Databricks and modernizing data platforms.
  • Experience building robust ETL/ELT workflows that support data quality, performance, and reliability.
  • Ability to translate complex technical requirements into effective data solutions.
  • Ability to collaborate with cross-functional teams and present technical strategies, architecture designs, and project outcomes to business stakeholders and leadership.

Responsibilities

  • 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 technical teams and business stakeholders to align data solutions with organizational objectives.
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