Remote Data Architect

Summary

Join a global team with high standards as a Senior Data Engineer at Kellton. We're looking for someone with experience in Databricks, Python, SQL, and large-scale data systems. As a champion of software engineering excellence, you'll apply best practices to our data ingestion and transformation frameworks.

Requirements

• Experience with Databricks and its associated tech stack: PySpark, Delta, Unity Catalog, Databricks Asset Bundles (DAB)
• 6+ years of hands-on experience in software engineering with high proficiency in Python
• 4+ years of experience with SQL and large-scale data systems (preferably in Azure)
• Strong understanding of software development best practices, including clean code principles, automated testing, version control (GitHub), CI/CD (GitHub Actions), and building and deploying software packages
• Strong work ethic, pragmatic approach, attention to detail, excellent communication skills and ability to work without supervision

Responsibilities

• Championing software engineering excellence in all aspects of data engineering by applying best practices in code quality, performance, and maintainability of our data ingestion and transformation frameworks
• Individual contribution and collaboration with engineering teams and consulting partners to build, test, debug, and ship high-impact, production-ready features of the frameworks
• Owning the frameworks’ backlog, design decisions and release management process, driving collaboration across the Data Engineering community to deliver timely enhancements, bug fixes, and framework optimizations
• Serving as the Subject Matter Expert (SME) for the entire Data Engineering framework, shaping the product roadmap and driving strategic enhancements
• Advising other Data Engineers in the team

Benefits

• Multiple food benefits: in-office lunches, a kitchen full of snacks and drinks, and many more
• Multisport Card