We are looking for an experienced Azure Data Architect to design, implement, and optimize scalable data solutions in Azure. This role involves working with cross-functional teams to ensure reliable, high-performance analytics platforms using Azure technologies.

Key Responsibilities

• Lead end-to-end data architecture, including data ingestion, modeling, integration, and real-time processing using Azure Data Factory, Databricks, Synapse, SQL, and Power BI.
• Design data flows, build data pipelines, and optimize SQL queries. Manage data synchronization and integration across systems.
• Work with stakeholders to define requirements and ensure alignment with business objectives. Review and govern documentation, technical specifications, and go-live plans.
• Utilize Azure tools such as Databricks, Spark, Delta Lake, Lakehouse, and PowerShell scripting for data processing and automation. Ensure scalability, performance, and security.
• Identify and mitigate risks, optimize solutions for long-term growth, and stay updated on emerging technologies.

Required Skills

• Hands-on experience with Azure Data Factory, ADLS, Azure Databricks, Azure Synapse, Azure SQL, Power BI, Azure DevOps, Microsoft Entra ID, SQL Optimization, Python, Spark, Delta Lake, and Lakehouse Implementation.

Preferred Skills

• Power Automate, Azure Key Vault, Azure Monitor, Azure Purview, UC4, Azure Logic Apps, Informatica, SSIS, SSAS.

Required Experience

• 14+ years in data architecture, business intelligence, and analytics platforms.
• Data warehousing, MPP databases, dimensional and relational modeling, ETL, and real-time data integration.

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