Senior Software Engineer (data Platform)

Georgiospiliouras

Remote, US
Base: not specified; bonus: annual bonus eligible ...
Fully remote
5+ years production-grade data systems experience
Deep mastery of databricks and spark ecosystem
Proven track record in real-time streaming architectures
Georgiospiliouras is seeking a Senior Software Engineer specializing in data platforms to architect and optimize their AI-native Data Platform. The role requires extensive experience with Databricks and large-scale data systems, focusing on platform engineering, cost-effectiveness, and data governance

Job Summary

  • The role serves as the architectural backbone for an AI-native Data Platform enabling global business expansion.
  • Candidates will design self-service frameworks and high-performance engines to power every product and AI workflow across the company.
  • The position offers competitive compensation, annual bonuses based on performance, and benefits including generous paid parental leave and flexible time off.

Matching Summary

Match Score: 85

Georgiospiliouras is seeking a Senior Software Engineer specializing in data platforms to architect and optimize their AI-native Data Platform. The role requires extensive experience with Databricks and large-scale data systems, focusing on platform engineering, cost-effectiveness, and data governance.

Salary

Base: Not specified; Bonus: Annual bonus eligible dependent on individual and company performance; Benefits: Generous paid parental leave, flexible time off, medical/dental/vision insurance, spending accounts, sabbatical after 5 years

Skills & Requirements

Must-have

  • 5+ years production-grade data systems experience
  • Deep mastery of Databricks and Spark ecosystem
  • Proven track record in real-time streaming architectures
  • Experience with cloud cost optimization strategies
  • Background in building internal APIs and tools

Nice-to-have

  • Championing AI-assisted development tools usage
  • Mentoring engineers on distributed computing best practices
  • Fostering innovation in a remote-first environment

Key Requirements

  • 5+ years experience building massive scale data systems
  • Hands-on mastery of Delta Lake, DLT, and Spark UI debugging
  • Production experience with Spark Structured Streaming or Kafka
  • Demonstrated ability to optimize cloud spend and DBU consumption

Work Rights

Not specified

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