Metyis is growing!

We are looking for an SAP Data Migration Architect with 8 years of professional experience to join our SAP Data & Migration Team in Porto.

Who we are

We are Metyis, a forward-thinking, global company that collaborates with business partners and clients to create and implement the capacities and capabilities required to improve future performance. We operate across a wide range of industries, and with our embedded partnership model we commit to driving sustainable growth for industry-leading organisations, elevating their potential with a long-term vision.

At Metyis, we develop integrated solutions that enable growth by working within our business partners’ organisations with diverse and multidisciplinary teams. This collaborative environment allows Metyis to build strategies and execute them through an ecosystem that combines Big Data solutions, Digital Commerce solutions, Marketing & Design solutions, and Advisory services.

Our teams are set up so that you have plenty of room to build bigger and bolder ideas by speaking your mind and being creative with your knowledge. Imagine the things you could achieve with a multidisciplinary team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

What we offer

• 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.
• Become part of a fast-growing international and diverse team.

What you will do

We are looking for an experienced professional to join our SAP Data & Migration Team. As a SAP Migration Architect, you will be responsible for leading complex AI-assisted SAP data migration and modernization activities for our clients. You will define the migration approach, guide technical teams, align SAP and data platform architecture, and ensure that business-critical reporting, data flows, and legacy SAP objects are migrated in a controlled, scalable, and auditable way.

You will also work closely with AI developers and data engineers to help integrate AI-assisted migration tooling, accelerate analysis of SAP objects, improve documentation, support code and metadata interpretation, and enable faster migration delivery.

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.

What you will bring

• 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.

We are united by our differences

At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.