SAP Data Migration Architect
Metyis AG
| Company | Metyis AG |
| Category | Data & Analytics |
| Location | Gurgaon |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | — |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (recruitee) |
Description
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 glos
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