Roles:

Your role involves designing, developing, and maintaining scalable data architectures leveraging AWS services and data modeling techniques such as Data Vault. You will collaborate with data engineers and data scientists to create and optimize ETL processes for data ingestion and transformation using AWS Glue and Lambda. Additionally, you will implement data storage solutions using Amazon Redshift and other AWS data services, ensuring performance and cost-effectiveness while utilizing AWS Kinesis and EMR to support real-time data processing and analytics.

Key Responsibilities:

- Design and maintain scalable data architectures using AWS and Data Vault techniques.
- Collaborate with internal teams to optimize ETL processes using AWS Glue and Lambda.
- Build and manage data storage solutions with Amazon Redshift.
- Support real-time data processing using AWS Kinesis and EMR.
- Establish data governance protocols to ensure quality and security.




- Partner with stakeholders to translate business needs into technical data solutions.

Required Qualifications:

- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Relevant experience as a Data Architect or in a similar data engineering capacity.
- Proficiency in analyzing complex data sets and solving technical challenges.
- Ability to work effectively within a team-oriented team structure.
- Clear communication skills for technical and non-technical audiences.

Preferred Skills:

- Familiarity with DevOps practices for data solution deployment.
- Advanced proficiency in AWS Glue, Redshift, Kinesis, and EMR.
- Knowledge of data governance frameworks and integrity checks.
- Understanding of ETL integration best practices.
- Experience with Data Vault modeling techniques.

📌 Data Architect, Technical Architect (Bengaluru)
🏢 R Systems International
📍 Bengaluru