Data / BI Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data / BI Architect for 12 months in Pontiac, MI, offering competitive pay. Requires 5+ years in Data Architecture or AI/ML, proficiency in SQL, Python, ETL tools, and experience with Power BI, Tableau, and cloud services.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 12, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Pontiac, MI
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🧠 - Skills detailed
#Scala #Databases #AI (Artificial Intelligence) #PyTorch #SageMaker #Tableau #Data Architecture #AWS (Amazon Web Services) #Physical Data Model #R #Cloud #"ETL (Extract #Transform #Load)" #Metadata #Microsoft Power BI #SQL (Structured Query Language) #BI (Business Intelligence) #NoSQL #ML (Machine Learning) #TensorFlow #SQL Server #Azure #Databricks #Visualization #Snowflake #Informatica #AWS SageMaker #Oracle #Azure cloud #Spark (Apache Spark) #Data Integration #Python #Data Pipeline
Role description
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Job Title: Data / BI Architect
Duration: 12 Months
Location: Pontiac, MI
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• Need Local Candidates & Visa Independent Candidates
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• Key Responsibilities:
Develop conceptual, logical, and physical data models and architectures.
Design and implement scalable data pipelines, ETL processes, and integration solutions.
Collaborate with cross-functional teams to deliver AI/ML and BI solutions that drive data-driven decision-making.
Optimize metadata strategies, data integration, and infrastructure design.
Work with technologies such as SQL/NoSQL databases, Power BI, Tableau, Snowflake, Databricks, AWS/Azure cloud services, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Required Skills & Experience:
5+ years in Data Architecture, BI, or AI/ML environments.
Proficiency in SQL, Python, Spark, ETL tools (Informatica), and cloud platforms (AWS SageMaker, Azure ML Studio).
Experience with data visualization (Power BI, Tableau, R) and databases (Oracle, SQL Server, Postgres, Snowflake).
Strong knowledge of AI/ML frameworks and data pipeline optimization.
