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Data Architect

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Onsite

Data Architect

r3 Consultant

Data Architect

Skills

SQL QueriesData AnalysisCompliance

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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