Position Overview: We are seeking a seasoned Data / BI Architect to provide technical leadership and architectural vision across a wide array of data and artificial intelligence initiatives. This includes the design and implementation of data warehouse solutions, business intelligence platforms, data modeling strategies, and source system optimization. The ideal candidate will possess strong experience with modern data architecture frameworks, machine learning platforms, and BI tools to support enterprise-wide data-driven decision-making. Key Responsibilities: • Architect, design, and implement scalable data warehouse and BI solutions. • Develop conceptual, logical, and physical data models. • Create robust and reusable ETL/ELT pipelines and data integration solutions. • Lead metadata management and data governance efforts. • Collaborate with stakeholders to understand business requirements and translate them into data solutions. • Design and implement AI/ML solutions to enhance operational efficiencies and insights. • Provide architectural leadership across cloud-based environments (AWS, Azure). • Ensure alignment with best practices for performance, scalability, and security. Required Skills & Tools: • Data Modeling: Conceptual, Logical, Physical • Tools: MS Visio, Microsoft 365, Crystal Reports, SAP BO, Informatica, Trillium • Databases: Oracle, SQL Server, Postgres, Amazon RDS, Snowflake • BI Platforms: Power BI, Tableau • Programming: SQL, Python, R • ML/AI Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn • Big Data: Apache Spark, Databricks • Notebooks: Jupyter • Cloud Platforms: AWS (SageMaker, EC2, S3), Azure (ML Studio, Databricks) • Database Types: SQL and NoSQL If interested, please apply with resume.
Job Type
Contractor role
Skills required
Python, Azure, NoSQL
Location
Rochester Hills, Michigan
Salary
No salary information was found.
Date Posted
June 5, 2025
Red Sun Technology is seeking a Data / BI Architect to lead data and AI initiatives, focusing on data warehouse solutions and business intelligence platforms. The role requires expertise in data modeling, ETL/ELT pipelines, and cloud environments.