R2 Technologies Corporation
Big Data & AI Solutions Architect - Q125
- Compensation
- Not disclosed
- Location
- Alpharetta, GA, USA
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Architecture
- Posted
Skills
Must have
- Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
- 3 years of experience in big data architecture with a focus on AI and machine learning integration.
- Proficiency in designing data lakes and data warehouses on cloud platforms (AWS, Azure, or GCP).
- Strong understanding of distributed data systems and machine learning workflows.
- Experience leading architectural initiatives for big data and AI-driven projects.
Nice to have
- Familiarity with advanced tools like Snowflake or Databricks for unified data and AI platforms.
- Exposure to MLOps practices for deploying and managing AI models in production.
- Knowledge of cloud cost optimization and security best practices for big data systems.
Full description
Big Data & AI Solutions ArchitectLocation: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking an innovative Big Data & AI Solutions Architect to design integrated data and AI solutions on cloud platforms. This role focuses on architecting data lakes, warehouses, and machine learning systems for enterprise analytics.
Key Responsibilities
- Architect big data solutions integrating AI and machine learning on cloud platforms like AWS, Azure, or GCP.
- Design and implement data lakes and data warehouses to support scalable analytics and AI workloads.
- Lead the integration of machine learning models into big data pipelines for predictive insights.
- Collaborate with stakeholders to align data architectures with business objectives and AI strategies.
- Ensure scalability, security, and performance of big data and AI systems in cloud environments.
- Mentor teams on best practices for designing data-driven architectures with AI capabilities.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
- 3 years of experience in big data architecture with a focus on AI and machine learning integration.
- Proficiency in designing data lakes and data warehouses on cloud platforms (AWS, Azure, or GCP).
- Strong understanding of distributed data systems and machine learning workflows.
- Experience leading architectural initiatives for big data and AI-driven projects.
Preferred Qualifications
- Familiarity with advanced tools like Snowflake or Databricks for unified data and AI platforms.
- Exposure to MLOps practices for deploying and managing AI models in production.
- Knowledge of cloud cost optimization and security best practices for big data systems.
Compensation & Benefits
- Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
- Opportunities for professional growth and upskilling in AI and cloud technologies.
R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.