Principal Data Engineer

Qualifications we are looking for:

• 10+ years of experience in Data Engineering, Data Architecture, or a related technical discipline.
• Familiarity with Microsoft technologies such as Azure Data Factory, Azure Synapse Analytics, Azure SQL, Microsoft Fabric, or Power BI.
• Experience with Python, SQL, or PySpark.
• Extensive hands-on experience with Databricks in enterprise data environments.
• Strong expertise in data modeling, including conceptual, logical, and physical data models.
• Extensive experience designing and implementing data solutions on Microsoft Azure.
• Strong understanding of the Microsoft data and technology ecosystem.
• Proven experience designing scalable, reliable, and maintainable data platforms and pipelines.
• Strong understanding of data architecture, data integration, data transformation, and data lifecycle concepts.

Job duties:

• Design and implement scalable data engineering solutions using Databricks and Azure.
• Define and maintain enterprise data modeling standards and best practices.
• Lead the design of data pipelines, data transformations, and data integration solutions.
• Evaluate technical requirements and recommend appropriate data architectures and implementation patterns.
• Establish engineering standards for scalability, performance, reliability, and maintainability.
• Partner with architects and engineering teams to align data solutions with broader enterprise architecture.
• Provide technical leadership and mentorship to Senior Data Engineers and other members of the data engineering organization.
• Identify opportunities to improve data platform performance, reliability, and operational efficiency.
• Troubleshoot complex data engineering and platform issues.
• Contribute to architectural and technical decision-making across data initiatives.
• Support modernization efforts involving legacy data platforms and migration to cloud-based data architectures.
• Ensure data solutions follow established security, quality, and governance standards.