AI/ML Data Engineering Architect

Job Title:

AI/ML Data Engineering Architect Location:

Minneapolis (On-site)

Experience:

15+

Years Domain:

Finance Job Summary We are seeking an experienced AI/ML Data Engineering Architect to lead the design and delivery of enterprise-scale data engineering and machine learning solutions within the finance domain. This is a hands-on delivery leadership role requiring strong expertise in modern data platforms, AI/ML technologies, cloud architecture, and advanced analytics. Required Skills

• Strong experience in SQL, PL/SQL, Complex SQL
• Expertise in Snowflake, Oracle, Data Engineering & Dimensional Modeling
• Experience with Machine Learning, Deep Learning, NLP, Time Series Analysis, Data Mining, and Big Data platforms
• Strong understanding of FP&A and Finance domain
• 8-10 years of experience designing Data Platform/Application Architectures
• 5+ years of experience integrating data from disparate sources for analytics
• 3+ years of AWS cloud experience
• Excellent communication and stakeholder management skills Responsibilities
• Design scalable AI/ML and data engineering solutions
• Architect enterprise data platforms and analytics solutions
• Lead data integration, modeling, and cloud initiatives
• Collaborate with executives, business teams, and technical stakeholders
• Guide development teams and support end-to-end solution delivery Preferred Qualifications
• Experience leading enterprise AI/ML transformation initiatives
• Knowledge of modern data lake/data warehouse architectures
• Experience with enterprise reporting and forecasting platforms
• Exposure to real-time analytics and streaming data technologies
• Strong leadership and mentoring capabilities Key Technologies
• Snowflake
• Oracle

SQL / PL-SQL

• AWS
• Machine Learning / Deep Learning
• NLP
• Big Data Technologies
• Data Modeling
• FP&A Analytics
• Enterprise Data Architecture