Data Architect – Data Platform & AI/ML Architecture
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect specializing in Data Platform & AI/ML Architecture, with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Python, Snowflake, PostgreSQL, and cloud services (AWS/Azure). Requires 12+ years of data engineering experience, including leadership.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date discovered
August 21, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Richardson, TX
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🧠 - Skills detailed
#Data Engineering #Mathematics #Leadership #NoSQL #Data Modeling #Apache Airflow #SQL (Structured Query Language) #AWS (Amazon Web Services) #SQL Server #Python #Data Processing #Databases #API (Application Programming Interface) #Visualization #Programming #Cloud #Database Management #PostgreSQL #dbt (data build tool) #Snowflake #Airflow #ML (Machine Learning) #BI (Business Intelligence) #Spark (Apache Spark) #Azure #AI (Artificial Intelligence) #Data Architecture #Data Governance #Computer Science
Role description
Required Qualifications
• Bachelor’s degree in information systems, Mathematics, Computer Science, or related fields.
• 12+ years’ experience in data engineering, including at least 1 year in leadership capacity.
• Advanced proficiency in Python or similar programming languages.
• Extensive experience with databases such as Snowflake, PostgreSQL, Vector DB, and SQL Server.
• Expertise in data processing tools like Snaplogic, DBT, Spark, and Apache Airflow.
• Comprehensive understanding of cloud services on platforms like AWS or Azure.
• Familiarity with machine learning frameworks and algorithms.
• Strong background in data modeling, database management (SQL/NoSQL), and API development.
• Experience implementing data governance and quality management strategies.
• Excellent communication skills for bridging technical and business teams.
• Knowledge of BI platforms and data visualization tools.
Required Qualifications
• Bachelor’s degree in information systems, Mathematics, Computer Science, or related fields.
• 12+ years’ experience in data engineering, including at least 1 year in leadership capacity.
• Advanced proficiency in Python or similar programming languages.
• Extensive experience with databases such as Snowflake, PostgreSQL, Vector DB, and SQL Server.
• Expertise in data processing tools like Snaplogic, DBT, Spark, and Apache Airflow.
• Comprehensive understanding of cloud services on platforms like AWS or Azure.
• Familiarity with machine learning frameworks and algorithms.
• Strong background in data modeling, database management (SQL/NoSQL), and API development.
• Experience implementing data governance and quality management strategies.
• Excellent communication skills for bridging technical and business teams.
• Knowledge of BI platforms and data visualization tools.
