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