Description

You will design and implement end-to-end cloud data architectures and information management solutions.

This role is hybrid.

Responsibilities

• Develop complex ETL data pipelines using Databricks and PySpark.
• Manage and maintain Data Lake and Lakehouse environments, including CDC and SCD implementation.
• Integrate data solutions with Power BI to enable data self-service.
• Align application development with business needs through the full SDLC.
• Define clear objectives and quantitative measures of success for data programs.

Required Skills

• 15+ years of experience in Data Warehousing, Data Engineering, and Analytics.
• 8+ years of Cloud Data Architecture experience.
• 4+ years of hands-on experience specifically with Azure.
• Expertise in Azure Databricks and PySpark.
• Experience managing large-scale, end-to-end data programs.
• Proficiency in Data Engineering and SDLC processes.
• Strong analytical, problem-solving, and presentation skills.
• Ability to work hands-on with current technologies while managing delivery.

Preferred Skills

• Experience with Unity Catalog.

Key Skills

Education

Any Gradute