Sr Data Engineer BI

Bloomington, MN
6400 W 105th St
Bloomington, MN 55438, USA

• Pay or shift range: $120,000 USD to $130,000 USD
• Flagg Bicycle Group approaches pay in an ethical and transparent way. Pay ranges are assigned to a job based on market data from 3rd party salary benchmark data as well as balancing internal equity of other roles with similar levels of responsibility. Individual pay within the range can vary for several reasons including, but not limited to, skills, abilities, experience, tenure, performance, and available budget.

This is a Hybrid role that is based in the Bloomington, MN Metro area. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

The Senior Data Engineer is a hands‑on technical leader responsible for designing, building, and evolving QBP's modern data platform that powers Business Intelligence, AI, and advanced analytics across the enterprise. This role bridges current-state SAP Data Services and SQL Server data warehousing with the future-state Microsoft Fabric / One Lake lakehouse architecture, while integrating data from QBP's complex enterprise landscape including SAP S/4

HANA, High Jump WMS, Anaplan, Prophix, Sales Cloud, and eCommerce. Beyond traditional data engineering, this role will lead the development of AI/ML capabilities – building machine learning models, designing and automating AI agents, and operationalizing agentic workflows that augment business decision‑making. The Senior Data Engineer is expected not only to deliver, but to innovate evaluating emerging technologies, championing modern data engineering practices, and shaping the architectural direction of QBP's data and AI platform.

• Own the end‑to‑end data architecture for key BI domains, including ingestion, storage, transformation, semantic modeling, and serving layers.
• Lead design and implementation of QBP's medallion (Bronze/Silver/Gold) architecture on Microsoft Fabric / One Lake, integrating with the SQL Server data warehouse during the modernization transition.
• Set and enforce data engineering standards including coding practices, version control, code reviews, and automated testing.
• Serve as the technical escalation point for complex data engineering challenges across the BI team.
• Design, build, and optimize scalable, resilient, and idempotent data pipelines using Azure Data Factory, Fabric Data Pipelines, SAP Data Services (current state), Python/PySpark, and SQL.
• Lead the migration of legacy ETL workloads (SAP Data Services, AWS SQL Server) into modern Azure/Fabric patterns as part of the S/4
  
  HANA transformation.
• Implement change‑data‑capture (CDC), incremental loads, retry‑safe backfills, and data quality checks across pipelines.
• Integrate data from SAP S/4
  
  HANA, High Jump WMS, Anaplan, Sales Cloud, ShipERP, and external partner feeds into the analytics platform.

• Design, develop, train, and deploy machine learning models to support forecasting, anomaly detection, classification, and recommendation use cases across QBP's business domains.
• Build, configure, and automate AI agents and agentic workflows (e.g., Microsoft Copilot Studio, Azure AI Foundry, Lang Chain/Lang Graph, or equivalent) that integrate with QBP's enterprise systems and data platform.
• Operationalize ML models and AI agents through MLOps practices – model versioning, monitoring, drift detection, and automated retraining pipelines.
• Partner with business stakeholders to identify high‑value AI/ML opportunities and translate them into production‑grade solutions.
• Champion responsible AI practices, ensuring solutions are explainable, secure, and aligned with QBP's data governance standards.

• Champion innovation by evaluating, prototyping, and recommending emerging data and AI technologies (e.g., Microsoft Fabric, SAP BDC/Data Sphere, Databricks, Delta Sharing, real‑time analytics, LLM‑based agents).
• Lead Proof‑of‑Concepts (POCs) to validate new tools and patterns (e.g., Fabric Lakehouse POC, agentic AI…