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Data Architect - Snowflake & AWS

Government Systems Technologies Inc. (GSTi)Alpharetta, GA🇺🇸United StatesPosted 3 Sept 2026

Why This Role Stands Out

This role offers a fantastic opportunity to architect cutting-edge data solutions leveraging Snowflake and AWS, directly impacting critical analytics and AI initiatives. You'll thrive here if you possess extensive experience in cloud data architectures, data governance, and driving innovation within a collaborative environment, with the flexibility of a hybrid work model. Seize this chance to shape the future of data at a reputable organization and advance your career.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Alpharetta, GA, United States
Posted
18 hours ago
SQLAWSSnowflakeApachePythonStakeholder ManagementTerraform

Job Description

Role: Data Architect - Snowflake & AWS
Location: Alpharetta, GA
Experience: 15+ Years
About the Role
We are looking for a seasoned Data Architect to lead the design and implementation of modern cloud data platforms using Snowflake, AWS, and Data Lakehouse architectures. The ideal candidate will have hands-on architecture experience in building scalable, secure, and governed enterprise data solutions that support analytics, reporting, and AI initiatives. 1
What You'll Do
  • Design enterprise-scale Data Lakehouse architectures using Snowflake and AWS.
  • Define data ingestion frameworks for AWS DMS S3 Snowflake and CDC-based pipelines.
  • Architect and govern solutions leveraging:
  • Snowpipe
  • Dynamic Tables
  • Streams & Tasks
  • Snowpark
  • Iceberg Tables
  • External Tables
  • Secure Data Sharing
  • Establish Bronze, Silver, and Gold layer architecture patterns.
  • Drive data governance initiatives including metadata management, lineage, data quality, and Horizon Catalog implementation.
  • Define security frameworks using RBAC, ABAC, data masking, and row-level access controls.
  • Optimize platform performance, scalability, and cloud costs.
  • Partner with engineering, analytics, and business teams to deliver trusted data products.
Must-Have Skills
Snowflake
  • Snowflake Architecture
  • Snowpipe
  • Dynamic Tables
  • Streams & Tasks
  • Snowpark
  • Iceberg Tables
  • Horizon Catalog
  • Secure Data Sharing
  • Zero Copy Cloning
  • Snowflake Trail
AWS
  • S3
  • DMS
  • IAM
  • Lambda
  • Glue Catalog
  • CloudWatch
  • Terraform
Technical Expertise
  • Data Lakehouse Architecture
  • Data Warehousing
  • Data Governance & Lineage
  • Enterprise Data Modeling
  • Performance & Cost Optimization
  • Python
  • SQL
Nice to Have
  • Snowflake Architect Certification
  • AWS Solutions Architect Certification
  • Experience with Apache Iceberg/Open Table Formats
  • Exposure to AI/ML and GenAI data platforms
Ideal Candidate
  • 15+ years of Data Engineering/Data Architecture experience.
  • Deep expertise in Snowflake and AWS ecosystems.
  • Proven experience designing enterprise data platforms from architecture through implementation.
  • Strong stakeholder management and technical leadership skills.

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