r3 Consultant
Data Architect
Skills
20 days ago
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Important information
Contract type:
Permanent
Location:
Noida, Uttar Pradesh, India
Work mode:
Onsite
Published on:
1 October 2026
What they need
Description r3 Consultant is looking for a Data Architect to join our dedicated team in Noida. This full-time, on-site position provides a unique opportunity to shape data strategies and architecture within the staffing and recruiting industry, ensuring our solutions meet the evolving needs of our clients.
As a Data Architect, you will play a crucial role in designing and implementing robust data models and infrastructure that support efficient data management and analytics. Your expertise will help us drive data-driven decision-making across our organization and enhance the overall efficiency of our operations.
We offer a competitive salary range of ₹4,000,000 - ₹5,500,000 annually, along with a comprehensive benefits package and opportunities for career development and growth within the company.
Responsibilities
- Design and develop data architecture solutions that meet business requirements
- Ensure data integrity and consistency across systems
- Collaborate with stakeholders to identify data needs and create effective data models
- Implement best practices for data management and governance
- Monitor and optimize data systems for performance and scalability
- Develop and enforce data security and compliance measures
- Work closely with IT teams to integrate new data solutions into existing infrastructures
- Stay updated with industry trends and emerging technologies in data management
Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related field
- 5+ years of experience in data architecture or a related role
- Strong proficiency in database management systems (SQL, NoSQL)
- Experience with data modeling and design techniques
- Proficient in data warehousing and ETL processes
- Excellent analytical and problem-solving skills
- Strong communication and collaboration abilities
- Knowledge of data governance and security practices
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