Principal Data Engineer

What you’ll do:

• Maintain and assess a legacy SQL Server-based Kimball-style data warehouse, identifying opportunities for modernization and optimization.
• Design and build scalable data pipelines and ETL/ELT processes using modern tools and frameworks.
• Collaborate with peers to define and evolve reusable tools and pipeline patterns that support efficient and consistent data transformation.
• Partner with product managers, data analysts, and engineering teams to design technical solutions that solve real customer problems.
• Contribute to the development and implementation of data governance practices, ensuring data sovereignty, privacy, security, and regulatory compliance.
• Monitor and troubleshoot data workflows to ensure high availability, reliability, and performance.
• Develop and maintain unit and integration tests for data pipelines to ensure reliability and correctness.
• Champion a culture of documentation to support maintainability, onboarding, and cross-team collaboration.
• Continuously challenge the status quo and advocate for improvements in data architecture and engineering practices.
• Stay current with advancements in distributed computing, data architecture, and emerging technologies.

What you’ll bring:

• 8+ years of experience in data engineering or a related field.
• Hands-on experience with Spark-based platforms such as Microsoft Fabric or Databricks.
• Solid understanding of distributed system design patterns and experience contributing to their implementation in production environments.
• Strong SQL skills and experience with dimensional data modeling (Kimball, star/snowflake schemas).
• Familiarity with the Microsoft BI stack: SSIS, SSAS, Power BI.
• Knowledge of data governance, security, and compliance best practices.
• Proven experience with both batch and real-time data processing architectures and tools.
• Experience to DevOps practices in a data engineering context.
• Comfort working independently in ambiguous environments.
• A track record of delivering high-quality, secure, and operable software solutions.
• Flexibility to work hours aligned with business priorities when needed.