Data Architect
First seen by Alion on Oct 15, 2026.
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.
Skills
Data Architect, AWS, Data Engineering, SQL, Python, AWS Glue, Redshift, Data Modeling, ETL, Data Quality, Metadata