AWS Data Solutions Architect - Remote
Posted Today by QTech US Inc
Negotiable
Undetermined
Remote
Remote or Virginia
Summary: We are looking for an experienced AWS Data Solutions Architect with over 15 years of expertise in designing and implementing enterprise-scale cloud data platforms, specifically using AWS and Snowflake. The role involves driving modern cloud data architecture, optimizing data platform performance, and supporting AI/ML initiatives. The ideal candidate will provide technical leadership and implement best practices in DataOps and Infrastructure as Code. This position is remote and offers a long-term contract opportunity.
Key Responsibilities:
- 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.
Key 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
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Job Title: AWS Data Solutions Architect
Location: Remote
Duration: Long-Term Contract
No C2C Only W2
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, 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.
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.
Key Responsibilities:
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.
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
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
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 SageMaker
Amazon Bedrock
Amazon Comprehend
Amazon Rekognition
Experience designing highly available, scalable, and secure cloud solutions.
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
Amazon Bedrock
Amazon Comprehend
Amazon Rekognition
Experience designing highly available, scalable, and secure cloud solutions.
Best Regards,
Tarun K
Phone: +1-
Email: