Data / BI Architect - DBIARCH 25-24283

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
No Travel Required

Skills

Snow Flake Schema
TensorFlow
Workflow
scikit-learn
Predictive Analytics
Python
R
Microsoft Power BI
Tableau
NoSQL
Optimization
PL/SQL
PostgreSQL
PyTorch
Machine Learning (ML)
Extract
Transform
Load
Informatica
Infrastructure Architecture
Marketing Intelligence
Meta-data Management
Microsoft Azure
SQL
Data Architecture
Data Integration
Data Visualization
Databricks
MI
Scalability
Artificial Intelligence
Business Intelligence
Cloud Computing
Collaboration
Database
Advanced Analytics
Amazon SageMaker
Amazon Web Services
Apache Spark

Job Details

Job Title: Data / BI Architect
Location: Pontiac, MI (Onsite)
Duration: 12+ Months

Job Overview:

A leading organization is seeking a highly skilled Data / BI Architect to join their team on a long-term onsite engagement. The ideal candidate will possess a strong foundation in data architecture and business intelligence, with hands-on experience designing scalable solutions that support advanced analytics, data integration, and machine learning initiatives.

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 support strategic, data-driven decisions.

  • Optimize metadata management, data integration workflows, and infrastructure design for performance and scalability.

  • Work with a variety of technologies including SQL/NoSQL databases, Power BI, Tableau, Snowflake, Databricks, and cloud platforms (AWS, Azure).

  • Leverage machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn to support predictive analytics initiatives.

Required Skills & Experience:

  • 5+ years of experience in Data Architecture, BI, or AI/ML environments.

  • Proficiency in SQL, Python, Spark, and ETL tools (e.g., Informatica).

  • Experience working with cloud-based platforms such as AWS (SageMaker) and Azure (ML Studio).

  • Skilled in data visualization tools such as Power BI, Tableau, or R.

  • Strong background in database technologies (Oracle, SQL Server, PostgreSQL, Snowflake).

  • Solid understanding of AI/ML frameworks and best practices in data pipeline optimization.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.