Senior Architect

Azure Data Architect:

Experience: 8+ Years

Job Summary:

We are seeking an experienced Azure Data Architect to design, implement, and manage scalable data solutions on Microsoft Azure. The ideal candidate will have a strong background in cloud data architecture, data modeling, and big data technologies, with Python and SQL as mandatory skills.

Key Responsibilities:

• Design and implement end-to-end data architecture on Microsoft Azure.
• Develop data models, pipelines, and ETL/ELT workflows using Python, SQL, Azure Data Factory, and Azure Databricks.
• Optimize data storage, retrieval, and performance using Azure Synapse Analytics, Azure SQL Database, and Data Lake Storage.
• Ensure data governance, security, and compliance best practices are followed.
• Collaborate with stakeholders, data engineers, and business teams to deliver data-driven solutions.
• Provide technical leadership and guidance on Azure cloud adoption and data modernization strategies.
• Monitor, troubleshoot, and enhance data infrastructure to ensure scalability and reliability.

Required Skills & Qualifications:

• 8+ years of experience in data architecture, data engineering, or related fields.
• Mandatory expertise in Python and SQL for data processing, querying, and automation.
• Strong experience in Azure Data Services (Azure Synapse, Data Factory, Databricks, Cosmos DB, ADLS, etc.).
• Proficiency in data modeling, database design, and ETL/ELT processes.
• Knowledge of Azure security, networking, and governance best practices.
• Experience with real-time and batch data processing.
• Strong understanding of data warehousing, data lakes, and analytics.
• Excellent problem-solving and communication skills.

Preferred Qualifications:

Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert.

Experience with Power BI, AI/ML integration, or DevOps in a data environment.

Familiarity with Terraform, Bicep, or Infrastructure as Code (IaC).

Why Join Us

Work with cutting-edge Azure data technologies.

Opportunity to lead high-impact data projects.

Collaborative and innovative work culture.