Role OverviewThe Principal Data Engineer will serve as a senior technical leader for enterprise data engineering, defining complex problem spaces, setting architectural direction, and delivering scalable, enterprise-grade data platforms and products. The role operates effectively in high-ambiguity environments, owns outcomes and business impact, and establishes standards, frameworks, and reusable engineering patterns adopted across multiple teams and domains.
What You Will Do
The Principal Data Engineer will define and evolve enterprise data engineering architecture, design and deliver high-performance, scalable data platforms and data products, and enable data engineers, analysts, data scientists, AI engineers, and business teams through reliable, governed, and reusable data services.
Why It Might Be a Fit
The ideal candidate will have deep expertise in Python, SQL, PySpark and/or Scala, and distributed data processing frameworks, and experience designing and operating data lakehouse, warehouse, data mart, semantic layer, and enterprise analytical data products.
Requirements
- Deep expertise in Python, SQL, PySpark and/or Scala, and distributed data processing frameworks
- Strong experience with Azure cloud platforms and Azure Databricks, including Delta Lake and platform-scale data processing patterns
- Experience designing and operating data lakehouse, warehouse, data mart, semantic layer, and enterprise analytical data products
- Experience with CI/CD, workflow orchestration, Git-based development, automated testing, and production release practices
- Experience with Docker, Kubernetes, Infrastructure as Code, cloud-native deployment patterns, and modern DevOps/DataOps practices
- Strong understanding of observability, monitoring, logging, performance optimization, reliability engineering, and cost management
- Knowledge of data governance, data quality, data security, access controls, metadata management, and compliance-sensitive environments
Benefits
- Flexible work hours/work schedule
- Domestic and international travel as needed
- Work holidays and weekends when required
- Collaborative work and technical mentoring with peers and junior team members
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