- Azure Data Factory.

- SQL.

- Oracle.

- Snowflake.

We are seeking a highly experienced Azure/Snowflake Data Architect with deep expertise in designing and implementing end-to-end data solutions on the Microsoft Azure platform.

The ideal candidate will have a strong background in SQL Server, SSIS, Azure Data Factory (ADF), and Azure Synapse Analytics, with the ability to architect scalable, secure, and high-performance data pipelines for enterprise-level environments.

Key Responsibilities :

- Design, develop, and implement data architecture solutions leveraging Azure Data Factory, Azure Synapse, and SQL Server.

- Define and manage data integration, ETL/ELT frameworks, and data modeling strategies.

- Architect and optimize data pipelines for performance, scalability, and reliability across multiple data sources.

- Collaborate with business stakeholders, BI developers, and data engineers to align data solutions with business goals.

- Oversee data migration and modernization from on-premises systems to Azure Cloud.

- Implement data governance, security, and compliance best practices for cloud data environments.

- Guide and mentor technical teams on best practices in Azure data services, performance tuning, and pipeline orchestration.

- Stay updated with the latest Azure and data engineering advancements to recommend process improvements.

Technical Skills Required :

- Azure Data Factory (ADF) - advanced experience in pipeline design, mapping data flows, and orchestration.

- Azure Synapse Analytics - strong knowledge of distributed querying, data warehousing, and performance optimization.

- SQL Server (T-SQL) - deep experience in writing complex queries, stored procedures, and query optimization.

- SSIS (SQL Server Integration Services) - experience in designing and maintaining ETL workflows.

- Strong understanding of data architecture principles, data modeling, and data lakehouse patterns.

- Experience with Azure Storage (Blob, Data Lake) and Azure DevOps CI/CD pipelines.

- Familiarity with Power BI integration, Azure Databricks, and Python or Scala for data transformations is a plus.

Soft Skills :

- Excellent problem-solving and analytical skills.

- Strong communication and stakeholder management.

- Proven experience leading data projects and technical teams.

- Ability to work in agile and fast-paced environments.

Educational Qualifications :

- Bachelors or Masters degree in Computer Science, Information Technology, Data Engineering, or related field.

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