Data Architect

Exult Global; India; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Exult Global is seeking a talented Azure Data Architect to join their data team in India. The successful candidate will design and implement Azure-based data architecture solutions, build and manage ETL/ELT pipelines, and collaborate with engineers and analysts to ensure data quality and governance. Proficiency in Azure services, SQL, and data architecture is essential. This role offers the opportunity to integrate AI capabilities and stay updated with evolving Azure technologies.

Qualifications

• Strong experience in designing and implementing cloud-based data architectures on Microsoft Azure.
• Proficiency in working with Azure Synapse Analytics, Azure Databricks, and Azure Storage solutions.
• Expertise in building scalable data pipelines and managing large-scale data processing systems.
• Good understanding of Azure SQL and data modeling concepts.
• Familiarity with Apache Spark for distributed data processing is an added advantage.

Responsibilities

• Design and implement end-to-end data architecture solutions on the Microsoft Azure platform.
• Build, optimize, and manage ETL/ELT pipelines for efficient data ingestion, transformation, and processing.
• Collaborate with data engineers, analysts, and business stakeholders to support analytics and reporting.
• Ensure data quality, integrity, governance, and consistency across multiple data sources.
• Support integration of AI-driven capabilities using Azure AI Foundry.

Skills

Azure Data Architecture

ETL/ELT Pipeline Management

Azure Synapse Analytics

SQL and Data Modeling

Azure Databricks

Python

Apache Spark

Job description

We are seeking a talented Azure Data Architect with strong expertise in Azure Databricks, specifically in PySpark and SQL, to join our data team. You will play a key role in Architecture, building secure, scalable data pipelines and end to end implementing robust data governance strategies

Roles and Responsibilities

• Design and implement end-to-end data architecture solutions on the Microsoft Azure platform.
• Build, optimize, and manage ETL/ELT pipelines for efficient data ingestion, transformation, and processing.
• Collaborate with data engineers, analysts, and business stakeholders to support analytics and reporting requirements.
• Ensure data quality, integrity, governance, and consistency across multiple data sources.
• Support integration of AI-driven capabilities using Azure AI Foundry where applicable.
• Establish best practices for performance tuning, scalability, cost optimization, and security in Azure data environments.
• Stay updated with evolving Azure technologies and industry best practices in modern data architecture.

Skills Required

• Strong experience in designing and implementing cloud-based data architectures on Microsoft Azure.
• Proficiency in working with Azure Synapse Analytics, Azure Databricks, and Azure Storage solutions.
• Expertise in building scalable data pipelines and managing large-scale data processing systems.
• Good understanding of Azure SQL and data modeling concepts for enterprise data platforms.
• Familiarity with Apache Spark for distributed data processing is an added advantage.
• Experience with CI/CD practices for deploying and managing data solutions efficiently.
• Working knowledge of Python and SQL for data engineering and transformation tasks.
• Ability to ensure data governance, security, and compliance across cloud data ecosystems.