Data / BI Architect || Onsite in Oakland, MI

Overview

On Site
Accepts corp to corp applications
Contract - W2
Contract - 12+ month(s)

Skills

ORACLE
metadata
BUSINESS INTELLIGENCE
ETL
SQL
XML
DATA WAREHOUSE
informatica
data integration
python
SAP
CRYSTAL REPORTS
MS SQL SERVER
VISIO
APACHE SPARK
NOSQL
Machine Learning
Power BI
Amazon Web Services
ANSI
PostGres
Database modeling
R Language
PyTorch
Data Pipelines
Artificial Intelligence
Amazon Elastic Compute Cloud
Tableau Software
Gather Requirements
Infrastructure Design
Amazon Relational Data Service
Maintain Data
Integration Design
Trillium

Job Details

Title: Data / BI Architect

Location: Oakland, MI

Start Date: 07/07/2025
Duration: 12Months
Experience Level: 10+ Years

Job Description:

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 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.

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