Data / BI Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data/BI Architect with a contract length of "unknown," offering a pay rate of "unknown" and is remote. Key skills include data modeling, ETL processes, and AI/ML solutions. Experience with SQL, AWS, Azure, and various BI tools is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 14, 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
McLean, VA
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🧠 - Skills detailed
#Data Warehouse #S3 (Amazon Simple Storage Service) #Tableau #SAP #Spark (Apache Spark) #BO (Business Objects) #SQL (Structured Query Language) #TensorFlow #AWS SageMaker #MS SQL (Microsoft SQL Server) #Databases #Apache Spark #"ETL (Extract #Transform #Load)" #SQL Server #Microsoft SQL #Snowflake #Databricks #Azure #Oracle #BI (Business Intelligence) #Python #PyTorch #EC2 #Scala #AWS (Amazon Web Services) #Business Objects #Metadata #Microsoft Power BI #Programming #Jupyter #R #RDS (Amazon Relational Database Service) #AI (Artificial Intelligence) #Amazon RDS (Amazon Relational Database Service) #Data Integration #XML (eXtensible Markup Language) #ML (Machine Learning) #Data Pipeline #Microsoft SQL Server #SageMaker #Keras #Informatica #Visualization #NoSQL #Azure Machine Learning #Data Architecture #Physical Data Model
Role description
Job Title: Data/BI Architect
Description
Provides technical direction to IT for a variety of data and artificial intelligence projects including Data warehouse, Business intelligence, Data modelling, Source data optimization initiatives.
• Develops conceptual, logical, and physical data models and architectures.
• Provides metadata strategies and data integration design
• Provides technical infrastructure design and implements scalable and robust data architectures that support business objectives.
• Develop, test, and maintain data pipelines, ETL processes, and data integration solutions.
• Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.
• Collaborate with business functions to design, develop, and deploy artificial intelligence and machine learning solutions to enhance business processes, as well as drive data-driven decision-making and innovation.
Environment:
MS Visio, Microsoft 365 Services, XML, ANSI SQL, Oracle, Microsoft SQL Server, Postgres, Amazon RDS, Crystal Reports XI, SAP, Business Objects, Informatica, Trillium, Snowflake, Microsoft Power BI, Tableau, R Programming for data visualizations, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases.
Job Title: Data/BI Architect
Description
Provides technical direction to IT for a variety of data and artificial intelligence projects including Data warehouse, Business intelligence, Data modelling, Source data optimization initiatives.
• Develops conceptual, logical, and physical data models and architectures.
• Provides metadata strategies and data integration design
• Provides technical infrastructure design and implements scalable and robust data architectures that support business objectives.
• Develop, test, and maintain data pipelines, ETL processes, and data integration solutions.
• Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.
• Collaborate with business functions to design, develop, and deploy artificial intelligence and machine learning solutions to enhance business processes, as well as drive data-driven decision-making and innovation.
Environment:
MS Visio, Microsoft 365 Services, XML, ANSI SQL, Oracle, Microsoft SQL Server, Postgres, Amazon RDS, Crystal Reports XI, SAP, Business Objects, Informatica, Trillium, Snowflake, Microsoft Power BI, Tableau, R Programming for data visualizations, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases.
