Prudent Technologies and Consulting, Inc.
Data Architect _ Hybrid
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Architect position based in Richardson, TX, on a contract basis. Key skills include proficiency in SQL, ETL tools, cloud platforms (Snowflake, AWS, Azure, GCP), data modeling, and data governance knowledge.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 14, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Richardson, TX
-
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #GCP (Google Cloud Platform) #Visualization #Cloud #Data Governance #Database Design #Scala #Data Architecture #Data Quality #Azure #Snowflake #Compliance #Data Modeling #AWS (Amazon Web Services)
Role description
Data Architect \_ Hybrid
Richardson, TX
Contract
Technical Skills Required & Qualification:
• Technical expertise: Proficiency in SQL, ETL tools, cloud platforms (Snowflake, AWS, Azure, GCP), and data visualization tools.
• Knowledge of data modeling( Dimensional, Dimensional, Entity-Relationship (ER), Hierarchical), database design, and data quality management
• Analytical mindset: Ability to translate complex business requirements into technical specifications.
• Knowledge of data governance: Familiarity with compliance standards
• Problem-solving skills: Strong capability to design solutions for scalability and performance.
• Communication skills: Clear articulation of data strategies to both technical and non-technical audiences.
Data Architect \_ Hybrid
Richardson, TX
Contract
Technical Skills Required & Qualification:
• Technical expertise: Proficiency in SQL, ETL tools, cloud platforms (Snowflake, AWS, Azure, GCP), and data visualization tools.
• Knowledge of data modeling( Dimensional, Dimensional, Entity-Relationship (ER), Hierarchical), database design, and data quality management
• Analytical mindset: Ability to translate complex business requirements into technical specifications.
• Knowledge of data governance: Familiarity with compliance standards
• Problem-solving skills: Strong capability to design solutions for scalability and performance.
• Communication skills: Clear articulation of data strategies to both technical and non-technical audiences.
