Xyant Services
Cloud Data Architect (Need Only Local Candidate)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Data Architect in San Jose, CA / Lehi, UT (Hybrid) for 6+ months. Requires a Bachelor's degree, 5+ years in data engineering, Azure expertise, and proficiency in Spark, data modeling, and database systems.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 13, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#Cloud #Data Security #Scripting #Computer Science #Data Engineering #Visualization #Distributed Computing #Database Systems #Data Lake #Hadoop #SQL (Structured Query Language) #Big Data #Azure #Python #Security #Spark (Apache Spark) #Data Science #Databricks #Data Architecture
Role description
Role : Cloud Data Architect
Location : San Jose, CA / Lehi, UT (Hybrid)
Duration : 6+ Months
Job Description:
Required Qualifications
Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks)
Proven track record of successfully designing and implementing cloud-based data solutions in Azure
Deep understanding of data modelling concepts and techniques.
Strong proficiency with database systems (relational and non-relational).
Exceptional diagramming skills with tools like Visio, Lucid chart, or other data visualization software.
Preferred Qualifications
Advanced knowledge of cloud-specific data services (e.g., DataBricks, Azure Data Lake).
Expertise in big data technologies (e.g., Hadoop, Spark).
Strong understanding of data security and governance principles.
Experience in scripting languages (Python, SQL).
Role : Cloud Data Architect
Location : San Jose, CA / Lehi, UT (Hybrid)
Duration : 6+ Months
Job Description:
Required Qualifications
Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks)
Proven track record of successfully designing and implementing cloud-based data solutions in Azure
Deep understanding of data modelling concepts and techniques.
Strong proficiency with database systems (relational and non-relational).
Exceptional diagramming skills with tools like Visio, Lucid chart, or other data visualization software.
Preferred Qualifications
Advanced knowledge of cloud-specific data services (e.g., DataBricks, Azure Data Lake).
Expertise in big data technologies (e.g., Hadoop, Spark).
Strong understanding of data security and governance principles.
Experience in scripting languages (Python, SQL).
