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Senior Data Engineering Delivery Manager -- Onsite -- Only W2 Profiles

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Trebecon LLC

Minneapolis, MN (In Person)

Full-Time

Posted 3 days ago (Updated 1 day ago) • Actively hiring

Expires 6/14/2026

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Job Description

Role :
Senior Data Engineering Delivery Manager Location :
Minneapolis, MN - Onsite Experience Required 15+ Years Overall Experience Key Responsibilities Lead the architecture, design, and implementation of enterprise AI/ML and data engineering solutions. Design scalable data platforms and analytics architectures using Snowflake, Oracle, SQL, and AWS cloud technologies. Develop and optimize complex SQL and PL/SQL queries, stored procedures, and performance tuning strategies. Build and maintain scalable data pipelines integrating disparate data sources for advanced analytics and reporting. Architect dimensional data models and data warehouses supporting enterprise analytics and FP&A functions. Collaborate with business stakeholders, finance teams, data scientists, and engineering teams to define data strategy and analytics solutions.
Design AI/ML solutions involving:
Machine Learning Deep Learning Natural Language Processing (NLP) Time Series Analysis Linear and Non-linear Modeling Data Mining Optimization and Simulation Lead data conformation and harmonization initiatives across multiple source systems. Provide technical leadership and hands-on delivery support throughout project lifecycles. Ensure data quality, governance, scalability, security, and performance standards are met. Work directly with senior executives and leadership teams to provide architecture recommendations and solution roadmaps. Mentor technical teams and establish best practices for AI/ML and data engineering implementations. Experience Requirements 15+ years of overall IT experience. 8-10 years of experience designing application/data architectures on enterprise data platforms using AI/ML technologies. 5+ years of experience designing data conformation and integration solutions for analytics platforms. 3+ years of hands-on experience working with AWS cloud technologies. Proven experience leading enterprise-scale data engineering and analytics programs. Finance domain experience is required.

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