Senior Data Architect, GenAI & Cloud Analytics

Tech Mirrors; Atlanta (GA); Hybrid; USD 140,000 - 165,000; Full time

Job summary

Tech Mirrors is seeking a Strategic & Architectural Leader to define AI & data architecture strategy and roadmaps. You will guide modern data, analytics, and GenAI architectures, and partner with leaders to prioritize high-impact AI use cases.

You will lead end-to-end designs for scalable data platforms across GCP, AWS, and Snowflake, with emphasis on governance and cost efficiency. The role requires deep cloud data experience, strong leadership, and the ability to communicate complex concepts

Qualifications

• 14+ years of hands-on experience in data architecture, analytics solutions, and cloud data platforms.
• 3+ years delivering AI/ML and Generative AI solutions in production.
• 6+ years designing and scaling enterprise data platforms on GCP, AWS, and Snowflake.
• Bachelor’s Degree in Engineering or related technical discipline.

Responsibilities

• Define and evolve AI & Data architecture strategy and roadmap aligned with priorities.
• Serve as thought leader for data, analytics, and AI architectures including GenAI.
• Lead end-to-end architecture design for data/analytics/AI initiatives with scalability and security.
• Design cloud-based data platforms on GCP, AWS, Snowflake and govern related patterns.
• Establish MLOps/LLMOps frameworks and ensure model observability and governance.
• Provide technical leadership and mentorship to architects, engineers, and scientists.

Skills

Data architecture

Architectural thinking

Leadership & mentoring

Communication skills

Stakeholder management

Self-driven

Education

Bachelor's Degree in Engineering

Master's degree or Ph.D. preferred

Tools

GCP

AWS

Snowflake

Python

SQL

PySpark

TensorFlow

PyTorch

Kubernetes

Docker

CI/CD

Data Lake / Lakehouse

Job description

Tech Mirrors is seeking a Strategic & Architectural Leader to define AI & data architecture strategy and roadmaps. You will guide modern data, analytics, and GenAI architectures, and partner with leaders to prioritize high-impact AI use cases.

You will lead end-to-end designs for scalable data platforms across GCP, AWS, and Snowflake, with emphasis on governance and cost efficiency. The role requires deep cloud data experience, strong leadership, and the ability to communicate complex concepts