Cloudious LLC
Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect on a long-term contract based in Lehi, Utah or San Jose. Requires a Bachelor's in Computer Science, 5+ years in data engineering, and expertise in Azure cloud solutions, distributed computing, and data modeling.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 17, 2026
🕒 - Duration
Unknown
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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
#Python #Big Data #SQL (Structured Query Language) #Cloud #Data Modeling #Databricks #Spark (Apache Spark) #Data Security #Strategy #Consulting #Data Architecture #Database Systems #Data Quality #Scala #Data Engineering #Azure #Security #Leadership #Visualization #Documentation #Data Lake #Computer Science #Data Access #Storage #Distributed Computing #Data Pipeline #Hadoop #Databases #Data Warehouse #Scripting
Role description
Cloudious LLC is one of the fastest emerging IT Solutions and Services company headquartered in San Jose, CA with their global offices in Canada, EMEA & APAC.
We are currently hiring a seasoned Data Architect who comes with a strong consulting
Data Architect
Lehi, Utah OR San Jose
Long Term Contract
Core Responsibilities
Cloud Data Architecture Design & Strategy:
Design and implement secure, scalable cloud-based data pipelines, data warehouses, and data lakes.
Drive the selection and integration of cloud data services (e.g., storage, databases, analytics tools).
Develop comprehensive cloud data strategies in alignment with business goals.
Diagramming & Documentation:
Produce clear and informative visual diagrams (e.g., data flow diagrams, entity-relationship diagrams, system architecture diagrams) to guide implementation and knowledge sharing.
Maintain detailed documentation of data architecture, design decisions, and processes.
Hands-on Implementation & Optimization:
Actively contribute to the hands-on implementation of cloud data solutions.
Proactively identify and implement performance optimization strategies for cloud data systems.
Troubleshoot and resolve issues related to data pipelines, data quality, and data accessibility.
Required Qualifications
Bachelor's degree in Computer Science
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 modeling concepts and techniques.
Strong proficiency with database systems (relational and non-relational).
Exceptional diagramming skills with tools like Visio, Lucidchart, 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).
Additional Skills
Communication: Exemplary written and verbal communication skills to collaborate effectively with all teams and stakeholders.
Problem-solving: Outstanding analytical and problem-solving skills for complex data challenges.
Teamwork & Leadership: Ability to work effectively in cross-functional teams and demonstrate potential for technical leadership
Cloudious LLC is one of the fastest emerging IT Solutions and Services company headquartered in San Jose, CA with their global offices in Canada, EMEA & APAC.
We are currently hiring a seasoned Data Architect who comes with a strong consulting
Data Architect
Lehi, Utah OR San Jose
Long Term Contract
Core Responsibilities
Cloud Data Architecture Design & Strategy:
Design and implement secure, scalable cloud-based data pipelines, data warehouses, and data lakes.
Drive the selection and integration of cloud data services (e.g., storage, databases, analytics tools).
Develop comprehensive cloud data strategies in alignment with business goals.
Diagramming & Documentation:
Produce clear and informative visual diagrams (e.g., data flow diagrams, entity-relationship diagrams, system architecture diagrams) to guide implementation and knowledge sharing.
Maintain detailed documentation of data architecture, design decisions, and processes.
Hands-on Implementation & Optimization:
Actively contribute to the hands-on implementation of cloud data solutions.
Proactively identify and implement performance optimization strategies for cloud data systems.
Troubleshoot and resolve issues related to data pipelines, data quality, and data accessibility.
Required Qualifications
Bachelor's degree in Computer Science
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 modeling concepts and techniques.
Strong proficiency with database systems (relational and non-relational).
Exceptional diagramming skills with tools like Visio, Lucidchart, 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).
Additional Skills
Communication: Exemplary written and verbal communication skills to collaborate effectively with all teams and stakeholders.
Problem-solving: Outstanding analytical and problem-solving skills for complex data challenges.
Teamwork & Leadership: Ability to work effectively in cross-functional teams and demonstrate potential for technical leadership
