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Metyis Logo Metyis · IT - Software Development

SAP Architect / Migration Lead

Portugal, Porto · Job Posted July 04, 2026
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Job Description

We are Metyis, a forward-thinking, global company that develops and delivers solutions around Big Data, Digital Commerce, Marketing and Design and provides Advisory services. We have offices in 15 locations with a talent pool of 1000+ employees and more than 50 nationalities, dedicated to creating long-lasting impact and growth for our business partners and clients. Together with HUGO BOSS, our esteemed business partner, we have embarked on a joint venture and created the HUGO BOSS Digital Campus, dedicated to increasing the data analytics, eCommerce and technology capabilities of the company and boosting digital sales. The HUGO BOSS Digital Campus employees will help create a state-of-the-art data architecture infrastructure, advanced business analytics, and the development and enhancement of HUGO BOSS’ eCommerce platform and services. This collaborative environment will provide the capabilities required for HUGO BOSS to maximise data usage and support its growth trajectory towards becoming the leading premium tech-driven fashion platform worldwide.

Job Responsibility

  • Interact with senior stakeholders at our clients on a regular basis to drive their business towards impactful change
  • Become the go-to person for SAP migration strategy, legacy landscape assessment, SAP architecture, and modernization planning
  • Lead your team in defining migration waves, technical patterns, data mapping, integration logic, transition plans, and AI-assisted migration accelerators
  • Work closely with Data Engineering, BI, Cloud, Governance, AI, and Business teams to move SAP-based data assets into a modern data platform
  • Contribute to SAP metadata management, data catalog implementation, lineage documentation, and governance enablement
  • Lead the SAP migration architecture and define the technical roadmap for moving SAP BW, SAP HANA, ABAP-based logic, interfaces, and reporting assets to a modern cloud data platform
  • Assess the existing SAP landscape, including SAP BW objects, SAP HANA models, ABAP logic, extractors, transformations, data flows, interfaces, APIs, reports, and integration dependencies
  • Define migration strategy, wave planning, object prioritisation, cutover approach, and validation framework
  • Support an AI-assisted migration approach by helping AI developers understand SAP structures, metadata, dependencies, ABAP logic, integration patterns, and migration rules
  • Help AI developers integrate AI-assisted migration solutions with SAP metadata, SAP interfaces, code repositories, documentation sources, and target data platform components
  • Translate legacy SAP logic into modern data architecture patterns together with Data Engineering, Databricks/Fabric, AI, and BI teams
  • Own architectural decisions related to SAP data extraction, APIs/interfaces, historical data migration, delta loads, reconciliation, and performance optimisation
  • Support SAP metadata management, business glossary alignment, lineage capture, and implementation of data catalog capabilities
  • Collaborate with business stakeholders to understand reporting needs, critical KPIs, regulatory requirements, and migration risks
  • Lead and support SAP BW / ABAP specialists, data engineers, BI developers, AI developers, and migration developers during design and delivery
  • Ensure that migrated objects are documented, tested, reconciled, and aligned with governance, security, metadata, lineage, and audit requirements
  • Drive technical excellence, delivery quality, and consistency with migration standards, best practices, and client architecture principles
  • Support project planning, estimation, dependency management, risk identification, and executive-level migration reporting
  • Coach and enable project team members to deliver high-quality migration outcomes across SAP and modern data platforms

Requirements

  • 10+ years of experience in SAP architecture, SAP BW, SAP HANA, SAP data warehousing, or large-scale SAP migration projects
  • Good knowledge of SAP architecture, including core SAP products, SAP BW/BW on HANA, SAP HANA, SAP ERP/S/4HANA, integration layers, data flows, and system dependencies
  • Strong understanding of SAP APIs, interfaces, extractors, integration patterns, and data exchange mechanisms across SAP products
  • Strong experience with SAP BW / BW on HANA, SAP HANA, ABAP, SAP extractors, transformations, process chains, and data modelling concepts
  • Proven experience leading SAP migration, modernization, or transformation programs
  • Solid understanding of SAP reporting landscapes, including SAP BW queries, BEx, Analysis for Office, SAP BO, Power BI, or similar reporting tools
  • Strong knowledge of SAP integration patterns, data extraction methods, delta mechanisms, reconciliation approaches, and performance considerations
  • Experience translating SAP business logic and legacy data models into modern cloud data platform designs
  • Understanding of modern data architecture concepts, including data lakes, lakehouse, medallion architecture, semantic layers, and governed data products
  • Experience working with cloud data platforms such as Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, or similar technologies is a strong plus
  • Experience with SAP metadata management, data catalog implementation, business glossary, lineage, or data governance tooling is a strong plus
  • Knowledge and practical usage of AI-assisted delivery, AI coding tools, AI documentation tools, or AI-based migration accelerators is a plus
  • Ability to guide AI developers by explaining SAP object structures, metadata relationships, ABAP logic, extraction methods, and migration dependencies
  • Ability to lead technical assessments, define migration roadmaps, estimate effort, and manage complex dependencies across multiple teams
  • Strong SQL and data analysis skills, with the ability to validate data quality, completeness, and reconciliation results
  • Experience with migration testing, parallel run, cutover planning, performance validation, and production readiness
  • Good understanding of data governance, security, lineage, auditability, and compliance requirements in enterprise environments
  • Ability to communicate complex SAP and architecture topics clearly to both technical and non-technical stakeholders
  • Customer centric, pragmatic, and passionate about delivering measurable business value
  • Strong problem-solving skills, ownership mindset, and ability to work with ambiguity in complex transformation environments
  • Comfortable leading multidisciplinary teams across SAP, Data Engineering, BI, AI, CloudOps, Governance, and Business Analysis
  • A Bachelor's Degree in Computer Science, Information Systems, Engineering, Business, Finance, or another related discipline. A Master’s Degree is a plus.

Nice to have

  • Experience working with cloud data platforms such as Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, or similar technologies is a strong plus
  • Experience with SAP metadata management, data catalog implementation, business glossary, lineage, or data governance tooling is a strong plus
  • Knowledge and practical usage of AI-assisted delivery, AI coding tools, AI documentation tools, or AI-based migration accelerators is a plus
  • A Master’s Degree is a plus
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