Role : Data Architect - AWS

About The Role

We are seeking an experienced Data Architect with solid expertise in Amazon Web Services (AWS) to design and implement scalable, secure, and high-performance data platforms. The ideal candidate will have experience in enterprise data architecture, cloud data solutions, data modelling, and modern data engineering practices.

Key Responsibilities

• Design end-to-end data architecture and cloud data solutions using AWS.
• Architect data lakes, data warehouses, and lakehouse platforms using AWS services.
• Design scalable data ingestion, transformation, and processing pipelines for batch and real-time workloads.
• Leverage AWS services such as Amazon S3, AWS Glue, Amazon Redshift, Athena, EMR, Lambda, Kinesis, and Lake Formation.
• Define data modelling, data integration, storage, and performance optimization strategies.
• Establish data governance, security, encryption, access controls, and compliance standards.
• Drive architecture reviews, technology selection, and implementation of data architecture best practices.




• Collaborate with data engineers, analytics teams, and business stakeholders to translate requirements into technical solutions.
• Optimize data platform performance, reliability, scalability, and cloud costs.

Required Skills And Qualifications

• 10 - 15 years of experience in data architecture, data engineering, or cloud data platforms.
• Strong expertise in AWS data services and cloud architecture.
• Experience designing enterprise data lakes, data warehouses, and ETL/ELT pipelines.
• Proficiency in SQL and Python or Scala.
• Strong understanding of data modelling, distributed processing, and data integration patterns.
• Experience with data governance, metadata management, data quality, and security.
• Excellent communication, problem-solving, and stakeholder management skills.

Preferred Qualifications

• AWS certifications in Data Engineering or Solutions Architecture.
• Experience with Terraform or C

📌 R Systems International (Noida)
🏢 R Systems
📍 Noida