Overview
On Site
$70 - $75
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Skills
Data Architect
BI Architect
Amazon EC2
Business Intelligence
Business Objects
Business Process
Amazon RDS
Amazon S3
Amazon SageMaker
Apache Spark
Artificial Intelligence
Database
Databricks
Decision-making
Extract
Transform
Load
Informatica
Collaboration
Crystal Reports
Data Integration
Data Modeling
Data Warehouse
Meta-data Management
Microsoft Azure
Microsoft Office
Microsoft Power BI
Infrastructure Architecture
Innovation
NoSQL
Optimization
Oracle
Jupyter
Keras
Machine Learning (ML)
Microsoft SQL Server
Tableau
Technical Direction
Microsoft Visio
PostgreSQL
PyTorch
scikit-learn
Python
R
SQL
Snow Flake Schema
TensorFlow
Trillium
XML
Job Details
Client: Oakland County (Government)
Job Title: Data / BI Architect
Work Location: Pontiac, MI
Work Schedule: Hybrid On-site/Remote (This is a hybrid role and will require someone in office 2 days per week)
Visa: U.SC or G.C only
Data / BI Architect
- Provides technical direction to IT for a variety of data and artificial intelligence projects including data warehouse, business intelligence, data modelling and 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 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.
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