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.