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Lead Data Architect; m​/w​/d

Job in New York, New York County, New York, 10261, USA
Listing for: IronMaxx Nutrition GmbH & Co. KG
Full Time position
Listed on 2026-02-18
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Lead Data Architect (m/w/d)
Location: New York

Your skillset - as strong as our protein

  • 5–10 years of experience as a Data Architect, Lead Data Engineer, or Migration Lead
  • Deep expertise in ERP data structures (e.g., SAP, Business Central, Odoo, etc.)
  • Strong skills in data modeling, APIs, ETL/ELT processes, SQL, and Python
  • Experience delivering at least one end-to-end ERP migration
  • Ownership mindset with the ability to establish and enforce technical standards
  • Passion for modern tools, automation, and AI-driven approaches
#BEcomeMAXX

We are looking for an experienced Data Architect / Data Engineer who will define the complete data structure of our future landscape and fundamentally modernize our ERP migration and all operational systems. You will be a technical key role in the entire transformation program — with direct impact on scalability, international expansion, and automation. You will rebuild the entire data environment of Iron Maxx — modern, scalable, and system-agnostic.

From data governance to target data models to integration architecture: you will define the standards that take us to the next level of growth.

Ready to perform? Your tasks with MAXXimum focus Architecture & Strategy
  • Design a modern, scalable data model for the ERP and all satellite systems
  • Develop a comprehensive interface and integration blueprint
  • Introduce data governance principles and master data management policies
  • Take technical ownership of all migration and integration architectures
Migration & Transformation
  • Define ETL/ELT strategies for the future data landscape
  • Design data harmonization across the ERP (e.g., SAP), Streamline, shop systems, and additional platforms
  • Oversee all mapping logic, transformation rules, and validation concepts
System & Process Ownership
  • Advise on ERP strategy and vendor selection (e.g., S/4, Business Central, Odoo, Manhattan, Infor)
  • Ensure data quality, auditability, and regulatory compliance
  • Collaborate closely with BI/Automation, IT, and cross-functional stakeholders
Leadership
  • Build and lead a Data Management team
  • Define KPIs to measure performance and target achievement
  • Conduct employee reviews and development conversations
  • Serve as a key contact for relevant interfaces and stakeholders
#J-18808-Ljbffr
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