AWS Data Solutions Architect - Remote
Virginia Beach, Virginia, 23450, USA
Listed on 2026-06-30
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IT/Tech
Data Engineering, AWS, Cloud Computing: Infrastructure & Operations, Data Warehousing
Job Title: AWS Data Solutions Architect
Location:
Remote
Duration:
Long-Term Contract
No C2C Only W2
Job Summary:
We are seeking an experienced AWS Data Solutions Architect with 15+ years of experience designing and implementing enterprise-scale cloud data platforms using AWS and Snowflake. The ideal candidate will possess deep expertise in architecting scalable Data Lakes, Lake houses, Data Warehouses, and high-performance ETL/ELT solutions while providing technical leadership across enterprise data initiatives.
The successful candidate will drive modern cloud data architecture, optimize data platform performance, implement Data Ops and Infrastructure as Code (IaC) best practices, and support AI/ML initiatives using AWS native services.
Key Responsibilities:
Design and architect enterprise-scale cloud data platforms using AWS and Snowflake.
Develop scalable Data Lakes, Lake houses, and Data Warehouse solutions.
Design conceptual, logical, and physical data models for enterprise applications.
Build scalable and high-performance ETL/ELT data pipelines.
Optimize Snowflake performance, scalability, security, and cost efficiency.
Create architecture diagrams, technical documentation, and data flow designs.
Provide technical leadership and architectural guidance to Data Engineering, BI, and business teams.
Implement Data Ops, CI/CD, and Infrastructure as Code (IaC) using Terraform and Cloud Formation.
Establish data governance, security, and cloud architecture best practices.
Support AI/ML initiatives utilizing AWS services including Amazon Sage Maker, Amazon Bedrock, Amazon Comprehend, and Amazon Rekognition.
Collaborate with cross-functional teams to deliver secure, scalable, and cloud-native data solutions.
Required Skills:
AWS Cloud Platform
Snowflake
Amazon Redshift, AWS Glue, Athena, EMR, Kinesis, Lake Formation
Enterprise Data Architecture & Data Modeling
ETL/ELT Development
Data Lakes, Lakehouse Architecture & Data Warehousing
Data Integration & Data Governance
Apache Spark, Hadoop, Hive, Kafka, Sqoop
Terraform, AWS Cloud Formation
CI/CD, Data Ops, Infrastructure as Code (IaC)
Solution Architecture & Technical Documentation
Architecture Diagrams & Data Flow Design
Performance Optimization, Cloud Security & Cost Optimization
Preferred Qualifications:
15+ years of enterprise Data Architecture experience.
Strong experience designing cloud-native data platforms on AWS.
Expertise with Snowflake performance tuning and optimization.
Experience implementing enterprise Data Governance frameworks.
Hands-on experience supporting AI/ML data platforms.
Experience with AWS AI services including:
Amazon Sage Maker
Amazon Bedrock
Amazon Comprehend
Amazon Rekognition
Experience designing highly available, scalable, and secure cloud solutions.
Best Regards,
Amelia Smith
Phone: +1
- Email:
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