AWS Data Architect

Veriipro; Atlanta (GA); On-site; USD 150,000 - 210,000; Full time

Job summary

Veriipro is seeking an experienced AWS Data Architect to lead enterprise data architecture initiatives in a cloud-first environment. You will design scalable data lakes and data warehouses on AWS, applying Medallion Architecture and strong governance practices.

You will mentor engineers, define data modeling standards, and collaborate with security and analytics teams to deliver secure, scalable data solutions that empower enterprise analytics.

Qualifications

• Experience designing enterprise data architectures in AWS.
• Proven ability to design and implement data lakes and data warehouses with Medallion Architecture.
• Strong focus on data governance, metadata management, data quality, and security.

Responsibilities

• Define and lead enterprise data architecture aligned with business and cloud modernization strategies.
• Design scalable AWS-based data lake and data warehouse solutions using Medallion Architecture.
• Establish data modeling standards and architectural best practices.
• Architect batch and near-real-time data processing solutions.
• Define data ingestion, ETL/ELT, integration, and orchestration frameworks.
• Ensure data platforms are secure, scalable, highly available, and cost-efficient.
• Design optimized Gold-layer datasets and semantic models for BI and analytics.
• Establish data governance, data lineage, cataloging, and data quality standards.
• Collaborate with data engineering, cloud, security, and business teams.
• Review and approve technical designs to ensure alignment with enterprise architecture.
• Mentor data engineers and contribute to data modernization roadmaps.

Skills

Enterprise data architecture

AWS cloud platforms

Medallion Architecture

Data modeling

ETL/ELT pipelines

Data governance & security

S3/Glue/Athena/Redshift

BI tooling knowledge

Tools

Power BI

Tableau

Amazon QuickSight

AWS Glue

Job description

We are seeking an experienced AWS Data Architect to design and lead enterprise data architecture solutions using AWS cloud technologies. The ideal candidate will have strong expertise in cloud data lakes, Medallion Architecture, data modeling, data engineering, data governance, and enterprise analytics.

Key Technical Skills

• Strong experience in enterprise data architecture and AWS cloud platforms.
• Hands-on knowledge of AWS S3, Glue, Athena, Redshift, and Lake Formation.
• Experience with EMR, Lambda, Step Functions, Kinesis, and MSK.
• Strong understanding of Medallion Architecture (Bronze, Silver, and Gold layers).
• Expertise in conceptual, logical, and physical data modeling.
• Knowledge of ETL/ELT pipelines, batch processing, and real-time data integration.
• Experience with Power BI, Tableau, or Amazon QuickSight.
• Strong understanding of data governance, data quality, metadata management, and data security.

Roles and Responsibilities

• Define and lead enterprise data architecture aligned with business and cloud modernization strategies.
• Design scalable AWS-based data lake and data warehouse solutions using Medallion Architecture.
• Establish data modeling standards and architectural best practices.
• Architect batch and near-real-time data processing solutions.
• Define data ingestion, ETL/ELT, integration, and orchestration frameworks.
• Ensure data platforms are secure, scalable, highly available, and cost-efficient.
• Design optimized Gold-layer datasets and semantic models for BI and analytics.
• Establish data governance, data lineage, cataloging, and data quality standards.
• Collaborate with data engineering, cloud, security, and business teams.
• Review and approve technical designs to ensure alignment with enterprise architecture.
• Mentor data engineers and contribute to data modernization roadmaps.

Leadership & Collaboration

• Act as a technical advisor to business and technology leadership.
• Drive architectural decisions and enterprise data strategy.
• Guide engineering teams in implementing scalable data solutions.
• Communicate architecture recommendations and technical solutions effectively.