Lead/Sr. Data Platform Architect

Lead Data Platform Architect
Hybrid onsite Dearborn, MI 2-3 days a week onsite; come September it will be 4 days a week
12 month contract.

Job Description:

• Design data solutions in the cloud or on premises, using the latest data services, products, technology, and industry best practices
• Experience migrating legacy data environments with a focus performance and reliability
• Data Architecture contributions include assessing and understanding data sources, data models and schemas, and data workflows
• Ability to assess, understand, and design ETL jobs, data pipelines, and workflows
• BI and Data Visualization include assessing, understanding, and designing reports, creating dynamic dashboards, and setting up data pipelines in support of dashboards and reports
• Data Science focus on designing machine learning, AI applications, MLOps pipelines
• Addressing technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
• Experience in crafting data lake house solutions in Google Cloud Platform. This includes relational & vector databases, data warehouses, data lakes, and distributed data systems.
• Must have PySpark API processing knowledge utilizing resilient distributed datasets (RDSS) and data frames

Skills Required:

• Design data solutions in the cloud or on premises, using the latest data services, products, technology, and industry best practices
• Experience migrating legacy data environments with a focus performance and reliability
• Data Architecture contributions include assessing and understanding data sources, data models and schemas, and data workflows
• Ability to assess, understand, and design ETL jobs, data pipelines, and workflows
• BI and Data Visualization include assessing, understanding, and designing reports, creating dynamic dashboards, and setting up data pipelines in support of dashboards and reports
• Data Science focus on designing machine learning, AI applications, MLOps pipelines
• Addressing technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
• Experience in crafting data lake house solutions in Google Cloud Platform.
• This includes relational & vector databases, data warehouses, data lakes, and distributed data systems.
• Must have PySpark API processing knowledge utilizing resilient distributed datasets (RDSS) and data frames

Skills Preferred:

• Ability to write bash, python and groovy scripts to help configure and administer tools
• Experience installing applications on VMs, monitoring performance, and tailing logs on Unix
• PostgreSQL Database administration skills are preferred
• Python experience and experience developing REST APIs

Experience Required:

• 10 + years

Education Required:

• Bachelor's Degree Computer Science, Computer Information Systems, or equivalent experience

Education Preferred:

• Masters Data Science Preferred