Cloud Architect

Job Title : Cloud Architect

Location: 100% onsite in San Jose, CA or Lake City Utah

Direct client

W2 Role

REQUIRED QUALIFICATIONS
- Bachelor s degree in Computer Science required.
- 5+ years of hands-on experience in distributed computing architecture
- Significant hands-on experience in cloud architecture (e.g., AWS, Azure), big data platforms, and end-to-end data solution workflows.
- Demonstrated expertise in machine learning/AI frameworks, platforms, and MLOps.
- Proven record of building, optimizing, and documenting scalable cloud, data, and ML solutions.
- Ability to diagram architectures at multiple levels of detail, ranging from conceptual to detailed implementation.
- Ability to document every aspect of work, including technical decisions, architectures, workflows, and operational procedures.
- Strong skills in technical communication, documentation, and cross-functional collaboration.

CORE RESPONSIBILITIES
CLOUD DATA ARCHITECTURE DESIGN & IMPLEMENTATION
- Must be capable of architecting and building scalable, secure cloud-based platforms for analytics, reporting, data lakes, warehouses, and machine learning workloads.
- Should be able to deliver systems supporting both real-time and batch analytics.

AI/ML PIPELINE DEVELOPMENT
- Required to create, deploy, and monitor end-to-end AI/ML solutions, encompassing data preprocessing, modeling, inference, and solution improvement.
- Must automate workflows using MLOps, CI/CD, and orchestration tools, ensuring experimentation, scalability, and operational efficiency.

DATA MODELING, INTEGRATION, & QUALITY
- Must deliver robust data models, metadata, and taxonomy strategies suitable for large, distributed data architectures.
- Expected to support and maintain high-quality data integration, lineage, and lifecycle management processes.
TECHNOLOGY EVALUATION & SOLUTIONING
- Responsible for researching, recommending, and implementing appropriate technologies related to cloud, big data, analytics, and ML.
- Must be able to lead proofs-of-concept and pilot implementations.
SECURITY, PRIVACY, & COMPLIANCE
- All work must adhere to data security, privacy, and compliance standards.
- Must coordinate with relevant teams to meet regulatory benchmarks and ensure secure, compliant solutions.

TECHNICAL COLLABORATION & DOCUMENTATION
- Must collaborate effectively with engineering, data science, IT, and business stakeholders for requirements gathering and solution delivery.
- Responsible for producing clear technical documentation, diagrams, and supporting artifacts.
SYSTEM OPTIMIZATION & TROUBLESHOOTING
- Must monitor and maintain optimal performance and cost-effectiveness of delivered solutions; required to troubleshoot and resolve issues proactively.
CONTINUOUS LEARNING & INNOVATION
- Expected to remain informed about current trends in cloud, data, and AI/ML and to recommend architectural improvements based on industry best practices

Top skills details

Bachelor s degree in Computer Science required.
- 5+ years of hands-on experience in distributed computing architecture, design patterns
- Significant hands-on experience in cloud architecture (e.g., AWS, Azure), big data platforms (Databricks), and end-to-end data solution workflows.
- Ability to diagram architectures at multiple levels of detail, ranging from conceptual to detailed implementation.
- Ability to document every aspect of work, including technical decisions, architectures, workflows, and operational procedures.
- Strong skills in technical communication, documentation, and cross-functional collaboration.