About the job
Position Title: Azure Data Architect
Experience Level: 8 to 14 Years
Role Overview: As an Azure Data Architect, you will be responsible for designing and implementing comprehensive data solutions utilizing Microsoft Azure. This includes crafting data lakes, data warehouses, and managing ETL/ELT processes. You will develop scalable data architectures to support extensive data processing and analytics workloads while ensuring performance, security, and compliance across Azure data solutions.
Key Responsibilities:
- Design end-to-end data solutions on Microsoft Azure, focusing on data lakes, warehouses, and ETL/ELT processes.
- Create efficient data architectures that facilitate large-scale data processing and analytics.
- Maintain high standards of performance, security, and compliance in Azure data solutions.
- Implement data architecture techniques such as lakehouse and warehouse.
- Evaluate and select suitable Azure services, including Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, Unity Catalog, and Azure Data Factory, with deep expertise in these services.
- Ideally, possess knowledge and experience with Microsoft Fabric.
- Collaborate with business and technical teams to translate data needs into robust architecture solutions.
- Ensure compliance with data governance and privacy regulations.
- Exhibit strong communication skills and work effectively with cross-functional teams.
- Lead and mentor the development team in implementing data engineering solutions.
- Coordinate with Data Scientists and Analysts to align data architectures with business objectives.
- Optimize cloud-based data infrastructure for enhanced performance, cost-effectiveness, and scalability.
- Analyze and optimize data workloads for performance tuning and cost management.
- Monitor performance and availability issues in cloud data solutions.
- Proficient in programming languages such as SQL, Python, and Scala, with hands-on experience in MS SQL Server, Oracle, or similar RDBMS platforms.
- Experience with Azure DevOps and CI/CD pipeline development.
- High-level architectural experience in data science or related fields.
- Strong understanding of database structures and principles.
- Experience in distributed data processing for big data pipelines, both batch and streaming.
- Familiarity with data visualization tools like Power BI and Tableau.
- Proficient in data modeling with the ability to convert OLTP data structures into Star Schema, with preferred experience in DBT.

