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Info Dinamica Inc

Cloud Data Architect

Info Dinamica Inc, San Jose, California, United States, 95199

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Role: Cloud Data Architect Location: San Jose, CA / Lehi, UT (Hybrid Onsite) Job Type: Contract Note: This role is no longer open for remote work. The candidate will be required to work out of the client’s office in San Jose, CA or Lehi, UT.

This is a hybrid position, with on‑site presence.

Job Description

Cloud Architect Data & AI Architecture Focus

Seeking an experienced Cloud Architect to take over responsibilities from a recently completed engagement.

This is a data‑focused architecture role, not a solutions architect or infrastructure admin position.

This is not an infrastructure or admin role

the ideal candidate is a hands‑on architect with strong expertise in data ingestion, ETL processes, and designing architectures to support AI initiatives.

AI experience is not mandatory, but a perspective on AI use cases is expected.

Role Overview

Design and define enterprise data architectures for large‑scale systems. Lead data ingestion, transformation (ETL), and modeling for cloud‑based platforms. Architect foundational infrastructure for future AI/ML capabilities.

Create detailed architecture diagrams and enterprise data models using

Lucidchart or Visio .

Mandatory Requirements Education:

Must hold a Bachelor’s degree (B.Tech) in Computer Science & Engineering (4-year program). Non-CS degrees, BCA, or 3-year programs will not be considered.

Cloud Expertise:

Hands‑on experience with Azure or AWS (either or both). Google Cloud Platform‑only experience is insufficient.

Enterprise Diagramming & Modeling:

Strong experience creating enterprise‑wide data models and system diagrams.

Must Tools:

Lucidchart or Microsoft Visio

Ideal candidate

Proficiency in Spark programming

Databricks experience is a big plus. Experience in data architecture for large enterprises.

Solid track record as an individual contributor, ideally growing from developer to architect.

Cloud certifications (Azure/AWS) highly desirable.

Preferred AI domain experience not required, but a strong understanding of architectural support for AI initiatives is a plus.

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