Azure Data Architect

Experience – 10 to 14 Years

Job Description :

Excellent verbal and written communication; ability to confidently engage with clients.

Proven experience delivering 5+ enterprise-level data projects (10+ years overall experience).

Strong expertise in:

SQL Server & Azure SQL Database

Azure Data Factory (ADF), Databricks, PySpark

ETL design, schema modelling, Data Quality frameworks, Medallion Architecture

Database schema & data modelling on RDBMS and Azure Data Platform

Databricks Unity Catalog and Lakehouse architecture

At least 2+ projects (3+ years) of experience in:

Azure Synapse Analytics (SQL DW)

Azure Data Lake/Blob Storage

Microsoft Fabric components (including Lakehouse)

Designing large-scale data storage and pipeline solutions

Experience managing high-volume, large, and varied datasets.

Define, design, and implement scalable data architecture solutions on Azure.

Understand business and technical requirements, proactively clarify assumptions, and deliver optimal solutions.

Interact effectively with customer Business and IT teams, providing technical leadership and solution presentations.

Lead the design of ETL pipelines, database schemas, and data models across RDBMS, Data Lakes, and Data Warehouses using Medallion Architecture.

Program and optimize DB objects (Views, Stored Procedures, Functions) for performance and scalability.

Architect and implement solutions with Azure Data Services for large, complex, and high-volume datasets.

Guide and mentor Leads and Developers, enforcing best practices in design and coding.

Ensure data solutions meet performance, security, and compliance standards following the Azure Well-Architected Framework (WAF).

Collaborate in Agile and Waterfall environments, adapting to evolving project requirements.

Provide innovative ideas and modern solutions for continuous improvement

Key Skills: Azure Data Factory (ADF), Databricks, PySpark, SQL, ETL design, Azure Data Lake, Python.