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# AWS Data Solutions Architect

- **Company:** QTech US, Inc
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing Security, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, Apache Hadoop, Apache Hive, Performance Tuning, Cloud Services, DataOps, Sqoop, Data Streaming, Enterprise Software Applications, Snowflake, Apache Spark, Infrastructure as Code (IaC), Cloudformation, Data Lakes, AI Platforms, AWS Glue, AWS Data Analytics, Apache Kafka, Data Management, Physical Data Models, Terraform, Data Pipelines, Amazon Redshift
- **Published:** June 30, 2026
- **Apply:** https://www.dice.com/job-detail/5387c54c-a89f-4cd4-87f0-405904a9d6a8

## About the Role

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 SageMaker

## Description

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, Lakehouses, 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 DataOps and Infrastructure as Code (IaC) best practices, and support AI/ML initiatives using AWS native services., Design and architect enterprise-scale cloud data platforms using AWS and Snowflake.
Develop scalable Data Lakes, Lakehouses, 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 DataOps, CI/CD, and Infrastructure as Code (IaC) using Terraform and CloudFormation.
Establish data governance, security, and cloud architecture best practices.
Support AI/ML initiatives utilizing AWS services including Amazon SageMaker, 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 CloudFormation
CI/CD, DataOps, Infrastructure as Code (IaC)
Solution Architecture & Technical Documentation
Architecture Diagrams & Data Flow Design
Performance Optimization, Cloud Security & Cost Optimization


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