Role : Data Architect - AWS

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.

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.