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Data Architect
Data ArchitectCompunnel Inc. • San Jose, CA, United States
Data Architect

Data Architect

Compunnel Inc. • San Jose, CA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.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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