JOB DESCRIPTION
We are looking for a highly experienced Cloud Solution Architect (Azure ) to support our core engineering team by designing and implementing scalable, secure, and high-performance cloud-based data solutions. The ideal candidate will have strong expertise in Microsoft Azure ecosystem, Microsoft Fabric, PySpark, and modern data lakehouse architecture using ADLS Gen1/Gen2 and Delta tables.
This role requires close collaboration with engineering leadership to define architecture standards, improve platform performance, and support CI/CD best practices.
Key Responsibilities
• Design end-to-end cloud data architecture leveraging Microsoft Azure and Microsoft Fabric
• Architect scalable data Lakehouse solutions using ADLS Gen1/Gen2 and Delta Tables
• Develop and optimize PySpark-based data processing pipelines
• Define architecture standards for data ingestion, transformation, and storage
• Implement CI/CD pipelines for data engineering workflows
• Provide guidance on cloud networking architecture and security best practices
• Collaborate with engineering teams to improve platform scalability and reliability
• Support migration and modernization of legacy data platforms to Azure
• Ensure best practices for performance optimization, cost optimization, and governance
• Work closely with stakeholders to translate business requirements into technical solutions
EXPERTISE AND QUALIFICATIONS
Required Skills & Experience
• 8+ years of experience in Data Engineering / Cloud Architecture
• Strong hands-on experience with Microsoft Azure
• Expertise in Microsoft Fabric
• Strong experience with PySpark
• Experience working with Azure Data Lake Storage (ADLS Gen1 & Gen2)
• Hands-on experience with Delta Lake / Delta Tables
• Experience implementing CI/CD pipelines (Azure DevOps, GitHub Actions, etc.)
• Strong understanding of cloud networking concepts
• Experience designing enterprise-scale data platforms
• Strong problem-solving and stakeholder management skills
Preferred Qualifications
• Experience in lakehouse architecture
• Knowledge of data governance and security best practices
• Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer)
• Experience working in enterprise engineering environments
• Exposure to Databricks is a plus
“Taras Technology, LLC is an EEO/AA Employer: women, minorities, the disabled and veterans are encouraged to apply”