Senior Azure Data Engineer (Architect) - Pan India

Job Description : PAN INDIA

Role Overview :

We are seeking an experienced Azure Data & Analytics Architect with a strong background in delivery and excellent communication skills. The ideal candidate will have experience and a proven track record in managing teams and client relationships. You will be responsible for leading data modernization and transformation projects using Azure services.

Key Responsibilities :

Lead and architect data modernization / transformation projects using AWS services.

Manage and mentor a team of data engineers and analysts.

Build and maintain strong client relationships, ensuring successful project delivery.

Design and implement scalable data architectures and solutions.

Oversee the migration of large datasets to AWS, ensuring data integrity and security.

Collaborate with stakeholders to understand business requirements and translate them into technical solutions.

Ensure best practices in data management and governance are followed.

Required Skills and Experience :

Experience in data architecture and analytics.

Defining the Azure Infra and its access to end users

Understanding the E2E Data flow and data consumption patterns

Understandings KPI’s and its data sources.

Understand the Data Sources, frequency and ingestion methods.

Design the ETL process.

Define the metadata structure.

Creating ETL Pipelines and guidance to team.

Creating conceptual, logic and physical data models.

Proven experience in delivering 4-6 large data migration / modernization projects using Azure Service.

Strong leadership and team management skills.

Excellent communication and interpersonal skills.

Deep understanding of data modeling, ETL processes, and data warehousing.

Experience with data governance and security best practices.

Ability to work in a fast-paced, dynamic environment.

Preferred Qualifications :

Azure Certified Solutions Architect – Professional or Azure Certified Data Engineering – Specialty.

Experience with other cloud platforms (e.g., AWS, GCP) is a plus.

Familiarity with machine learning and AI technologies.