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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ERP Master Data Architect - **Company:** Enpal GmbH - **Location:** Berlin, Germany - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Architecture, Data Validation, Data Governance, Salesforce.Com, Snowflake, Data Analytics, Performance Monitor, Microsoft Dynamics 365 Finance & Operations, Data Management - **Published:** July 18, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=8662f7e99bf24af1 ## About the Role * Proven experience as a Master Data Manager, MDM Architect, or similar role, owning governance frameworks end-to-end * Deep expertise in D365 F&O master data modules (Customer, Vendor, Product/Item, Asset) * Strong understanding of data quality management: defining rules, monitoring KPIs, and driving resolution across domains * Experience enforcing master data standards and change processes in a complex, multi-entity environment * Understanding of how data quality impacts AI/agent reliability, you know that agents are only as good as the data they consume * Familiarity with adjacent systems such as Salesforce, Onventis, or Snowflake is a plus * Ability to align Finance, SCM, Sales Operations, Procurement, and Data & Analytics stakeholders * Structured, process-oriented mindset with strong ownership and attention to detail * Fluent in English; German is a plus ## Description As ERP Process Architect MDG, you are the cross-domain authority for data quality and governance at Enpal. You own the Master Data Governance framework across Customer, Vendor, Product, and Asset domains and you define what "trusted data" means in an agentic enterprise. You work closely with Finance, SCM, Tech, and every process squad that depends on clean master data to operate., * Define and own the Master Data Governance framework: data ownership model, change request processes, quality standards, and escalation paths across all domains * Establish and enforce master data standards in D365 F&O: field definitions, mandatory attributes, naming conventions, and data entry guidelines * Manage the end-to-end change process: intake, validation, approval, and execution, coordinated across Finance, SCM, and Tech to prevent fragmented data creation * Define the data quality rules and validation logic that govern what agents can and cannot act on - ensuring agents only operate on trusted, governed data DATA QUALITY & DOMAIN OWNERSHIP * Own data quality across Customer, Vendor, Product, and Asset domains: define quality rules, monitor compliance, and drive resolution of issues * Identify and resolve duplicate records, incomplete data, and inconsistencies across all domains * Collaborate with the Lead Solution Architect and ERP Tech on data architecture, data model design, and system-side governance enforcement * Drive automation to reduce manual entry, improve straight-through processing, and enforce data validation at source AGENTIC ENABLEMENT & CROSS-DOMAIN ALIGNMENT * Define the data readiness criteria that must be met before AI agents are deployed in any process domain, data cleanliness is non-negotiable for agentic operations * Act as process SME in cross-functional projects, system changes, and new business line onboarding, ensuring master data is correctly set up before go-live * Represent MDG in ERP governance forums, design authority reviews, and cross-functional steering, In an agentic enterprise, master data is not a back-office concern, it is the foundation that determines whether AI agents can act reliably or not. Data cleanliness is non-negotiable for agentic operations. As MDG Process Architect, you are the gatekeeper of that knowledge layer, ensuring that every agent deployed at Enpal operates on data it can trust. Without your work, the agentic enterprise does not function. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [Best Companies to Work For in Germany: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/33-best-companies-to-work-for-in-germany-top-25-companies-in-2023) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)