About the role

Job Description – Azure Cloud Data Architect

Position:	Azure Cloud Data Architect
Experience:	9 – 13 Years
Location:	Pune, Hyderabad, Bengaluru, Chennai, Noida, Gurugram
Work Mode:	Hybrid
Employment Type:	Permanent
Notice Period:	Immediate Joiners Preferred

Role Overview

We are looking for an experienced Azure Cloud Data Architect with 9 – 13 years of experience in designing and implementing scalable, secure, and high-performance data solutions on the Azure cloud platform.

The ideal candidate should have strong expertise in Python, PySpark, SQL, ETL, Azure Cloud Services, Data Warehousing, and Data Modeling, with the ability to translate business requirements into robust data architecture and engineering solutions.

Key Responsibilities

Design and develop scalable cloud-based data architectures using Microsoft Azure services.
Define data architecture, data models, data flows, and integration strategies for enterprise data platforms.
Design and implement ETL/ELT pipelines for batch and large-scale data processing.
Develop and optimize data processing solutions using Python, PySpark, and SQL.
Design and maintain enterprise Data Warehouse (DWH) solutions and dimensional data models.
Work closely with business stakeholders, data engineers, analysts, and technology teams to understand requirements and deliver scalable solutions.
Define best practices around data ingestion, transformation, storage, processing, and consumption.
Ensure data solutions are scalable, secure, reliable, and optimized for performance and cost.
Identify opportunities to improve existing data platforms, pipelines, and processes.
Provide technical guidance and mentorship to data engineering teams.
Troubleshoot complex data engineering and architecture issues.
Ensure adherence to data governance, security, quality, and architecture standards.

Mandatory Skills

9 – 13 years of overall experience in Data Engineering / Data Architecture.
Strong hands-on experience with Microsoft Azure Cloud Services.
Strong programming experience in Python.
Strong expertise in PySpark and distributed data processing.
Advanced SQL skills with experience in query optimization.
Strong experience in ETL/ELT development and data integration.
Strong understanding of Data Modeling concepts.
Strong experience in Data Warehousing (DWH).
Experience designing scalable and reliable data solutions in a cloud environment.
Strong understanding of data architecture, data pipelines, and data lifecycle.

Good to Have

Experience with Azure data services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS) or similar services.
Experience with cloud migration and modernization of data platforms.
Knowledge of data governance, security, and data quality frameworks.
Experience with performance and cost optimization of cloud data solutions.
Exposure to CI/CD and DevOps practices for data engineering.

End of Job Description