R Systems International - Data Architect - AWS

R Systems; Dadri; Presencial; INR 2 500 000 - 5 000 000; Tempo integral

Resumo da oferta

R Systems is seeking an experienced Data Architect with strong AWS expertise to design scalable, secure data platforms. The role focuses on enterprise data architecture, cloud data solutions, data modelling, and modern data engineering practices, working with data engineers and analytics teams to translate requirements into scalable technical solutions.

The ideal candidate will design end-to-end architectures, governance, and optimized pipelines for batch and real-time workloads, leveraging S3,

Qualificações

• 10–15 years of experience in data architecture 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.

Responsabilidades

• 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.

Conhecimentos

AWS data services

Data architecture

ETL/ELT pipelines

SQL

Python

Scala

Data governance

Security

Ferramentas

Terraform

CloudFormation

CI/CD

Descrição da oferta de emprego

About The Role

We are seeking an experienced Data Architect with strong 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.

Role : Data Architect - AWS

We are seeking an experienced Data Architect with strong 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 CloudFormation, CI/CD, and automated deployments.
• Knowledge of enterprise data architecture frameworks and modern cloud data platform design.

(ref:hirist.tech)