AWS Data Solutions Architect - Remote
QTech US Inc
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Job Details
Skills
- AWS
- CI/CD
- snowflake
- Terraform
- Hadoop
- data warehousing
- ETL/ELT
- Apache Spark
- Apache Kafka
- Hive
- Stakeholder Management
- Lakehouse Architecture
- Infrastructure as Code (IaC)
- Cloud Security
- AWS CloudFormation
- Data Modeling
- Performance Optimization
- Enterprise Data Architecture
- Data Lakes
- Amazon Redshift
- AWS Glue
- Amazon Athena
- Amazon EMR
- Amazon Kinesis
- AWS Lake Formation
- Sqoop
- DataOps
- Technical Documentation
- Architecture Design
Summary
Location: Remote
Duration: Long-Term Contract
No C2C Only W2
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.
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
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:
- Dice Id: 91124817
- Position Id: 2026-341
- Posted 3 hours ago
Company Info
About QTech US Inc
QTech is a fast-growing, global, innovative IT Services firm offering end-to-end solutions for all of your IT challenges. We are specialized in Software Development, Business Analysis, Agile Transformation, Data Analytics, Business Intelligence, and Digital Transformation. We provide managed Services to our big and small clients through IT Consulting, Custom Software Development, Data Analytics, and IT Staffing. We provide custom solutions for our clients designed around their specific needs. No two clients are the same to us. Our focus is on providing custom solutions to complex IT business problems with a hands-on approach to create environments and systems that meet our customer's industry-specific needs. We strive to truly partner with our clients by listening first and working through the issues together to allow them to achieve the maximum benefit from their data and technology. We have the best resources and top-notch talent who can optimize and deliver cost-effective solutions to your issues.
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