[Hiring] AWS Data Solutions Architect @QTech

Role 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.

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.

Qualifications

• 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

Requirements

• 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.

Company Description