Lead Azure Data Engineer
New
Teams across North America, Europe, Latin America, and AsiaFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 7 - 10 years
- Required Skills
- PythonSQLMicrosoft Power BIData modeling
Requirements
- 7 - 10 years of relevant experience in data engineering and business intelligence.
- Minimum of two years of hands-on experience with the Azure Data Stack: Azure SQL, Microsoft Fabric, and Power BI.
- Advanced SQL skills with knowledge of modern data architecture, including Data Lakehouse and medallion architecture.
- Proficiency in Python for data engineering, ETL/ELT workflows, and automation.
- Experience designing and maintaining enterprise-grade data pipelines in Azure environments.
- Proven track record of leading analytics projects and delivering scalable data solutions.
- Strong understanding of data governance, security, and performance optimization.
- Experience with DBT and GenAI tools or technologies is desired.
Responsibilities
- Understand client requirements and lead the creation of robust data platforms leveraging Data Lakehouse architectures.
- Design and implement scalable data models, ETL/ELT pipelines, and analytics layers.
- Architect Microsoft Fabric reporting solutions, including capacity planning and freshness governance.
- Enforce strict data-layer segregation and compliance for regulated data retention.
- Lead complex migration efforts off legacy systems to Microsoft Fabric.
- Mentor junior team members and perform code reviews.
- Develop and optimize complex SQL queries and Power BI semantic models.
- Build and oversee AI-ready data pipelines and integrate GenAI into analytics products.
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