Data ArchitectCompunnel Inc. • San Jose, CA, United States
Data Architect
Compunnel Inc. • San Jose, CA, United States
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job_description.job_card.job_descriptionArchitect and build scalable, secure cloud‑based platforms for analytics, reporting, data lakes, warehouses, and machine learning workloads. Deliver systems supporting both real‑time and batch analytics. Create, deploy, and monitor end‑to‑end AI / ML solutions, encompassing data preprocessing, modeling, inference, and solution improvement. Automate workflows using MLOps, CI / CD, and orchestration tools, ensuring experimentation, scalability, and operational efficiency. Deliver robust data models, metadata, and taxonomy strategies suitable for large, distributed data architectures. Support and maintain high‑quality data integration, lineage, and lifecycle management processes. Research, recommend, and implement appropriate technologies related to cloud, big data, analytics, and ML. Lead proofs‑of‑concept and pilot implementations. Ensure all work adheres to data security, privacy, and compliance standards. Coordinate with relevant teams to meet regulatory benchmarks and ensure secure, compliant solutions. Collaborate effectively with engineering, data science, IT, and business stakeholders for requirements gathering and solution delivery. Produce clear technical documentation, diagrams, and supporting artifacts. Monitor and maintain optimal performance and cost‑effectiveness of delivered solutions. Proactively troubleshoot and resolve issues. Stay informed about current trends in cloud, data, and AI / ML. Recommend architectural improvements based on industry best practices.
Job Description
This resource will work hands‑on to deliver scalable, secure, and high‑performing systems for analytics, reporting, and machine learning on a petabyte scale.
Qualifications
- Bachelor’s degree in Computer Science (years attended and finished must be listed on the resume)
- Cloud experience : Azure preferred, AWS acceptable
- Experience with Medallion Architecture
- Experience with end‑to‑end workflows for data / application integration
Responsibilities
Cloud Data Architecture Design & Implementation
AI / ML Pipeline Development
Data Modeling, Integration & Quality
Technology Evaluation & Solutioning
Security, Privacy & Compliance
Technical Collaboration & Documentation
System Optimization & Troubleshooting
Continuous Learning & Innovation
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Information Technology
Industries
IT Services and IT Consulting
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