Data Architect

Compunnel Inc.San Jose, CA, United States

4 days ago

Job type

Full-time

Job description

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

Architect 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.

AI / ML Pipeline Development

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.

Data Modeling, Integration & Quality

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.

Technology Evaluation & Solutioning

Research, recommend, and implement appropriate technologies related to cloud, big data, analytics, and ML.

Lead proofs‑of‑concept and pilot implementations.

Security, Privacy & Compliance

Ensure all work adheres to data security, privacy, and compliance standards.

Coordinate with relevant teams to meet regulatory benchmarks and ensure secure, compliant solutions.

Technical Collaboration & Documentation

Collaborate effectively with engineering, data science, IT, and business stakeholders for requirements gathering and solution delivery.

Produce clear technical documentation, diagrams, and supporting artifacts.

System Optimization & Troubleshooting

Monitor and maintain optimal performance and cost‑effectiveness of delivered solutions.

Proactively troubleshoot and resolve issues.

Continuous Learning & Innovation

Stay informed about current trends in cloud, data, and AI / ML.

Recommend architectural improvements based on industry best practices.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

IT Services and IT Consulting

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Data Architect • San Jose, CA, United States

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