Virtasant
51 - 200 employees
💼 Consulting
🏢 Enterprise
🤝 B2B
Consulting • Enterprise • B2B
Virtasant is a cloud services and optimization company that helps businesses migrate to, manage, and build on public cloud platforms. They combine a proprietary automation platform with managed services and FinOps expertise to reduce cloud costs (claiming average savings of over 50%), support Cloud FinOps programs, and deliver outcome-based engagements rather than hourly or seat-based billing. Virtasant also provides enterprise AI guidance and partners with major cloud providers (AWS, Google Cloud, Azure) to deliver migration, optimization, and 24/7 managed operations.
Senior Databricks Engineer – Architect
🔥 13 hours ago
Where this job comes from
Posted on Virtasant's careers page ↗, not through a job board
First seen by Remote Rocketship 13 hours ago
Still open on Virtasant's site. Checked 1 hour ago.
Virtasant
51 - 200 employees
💼 Consulting
🏢 Enterprise
🤝 B2B
Consulting • Enterprise • B2B
Virtasant is a cloud services and optimization company that helps businesses migrate to, manage, and build on public cloud platforms. They combine a proprietary automation platform with managed services and FinOps expertise to reduce cloud costs (claiming average savings of over 50%), support Cloud FinOps programs, and deliver outcome-based engagements rather than hourly or seat-based billing. Virtasant also provides enterprise AI guidance and partners with major cloud providers (AWS, Google Cloud, Azure) to deliver migration, optimization, and 24/7 managed operations.
📋 Description
• 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
🎯 Requirements
• 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 • Experience modernizing data platforms • Experience building robust ETL/ELT workflows • Ability to ensure data quality, performance, and reliability • Ability to translate complex technical requirements into effective data solutions • Ability to collaborate with cross-functional teams • Ability to present technical strategies, architecture designs, and project outcomes to business stakeholders and leadership
🏖️ Benefits
• Long-term & ongoing 1099 contract opportunity
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