Oferta wygasa za:89 dni
Tryb pracyZdalna
Rodzaj umowyKontrakt B2B
Tryb rekrutacjiRekrutacja stacjonarna
Wymiar etatuPełny etat
About the project
We are looking for an experienced Data Architect to join a strategic data transformation programme.
In this role, you will lead the technical discovery and architecture workstream, helping shape a modern, AI-ready data platform that supports business growth and future analytics capabilities.
You will work closely with business and technical stakeholders to assess the current landscape, define the target-state architecture, and provide strategic recommendations for platform direction, integration, governance, security, and implementation planning.
Your responsibilities
- Lead the technical discovery and architecture workstream.
- Assess existing source systems, data flows, integrations, reporting processes, and architectural constraints.
- Identify data fragmentation, architecture gaps, technical risks, and key dependencies.
- Design the target-state ('North Star') data platform architecture.
- Evaluate cloud data platform technologies such as Microsoft Azure, Microsoft Fabric, Databricks, AWS, or similar solutions.
- Recommend the most suitable platform and toolchain based on business needs, scalability, cost, security, operational feasibility, and data residency requirements.
- Define integration patterns, data movement principles, and core platform building blocks.
- Assess AI readiness and define the data architecture required to support AI and GenAI initiatives.
- Provide recommendations on data governance, security, access management, and compliance.
- Assess the technical feasibility of priority business use cases.
- Support implementation planning by contributing to the roadmap, delivery sequencing, and high-level effort estimates.
Our requirements
- Proven experience as a Data Architect, Enterprise Data Architect, or in a similar senior data architecture role.
- Strong background in enterprise data architecture and cloud data platforms.
- Hands-on experience with Azure, Microsoft Fabric, Databricks, AWS, or comparable cloud ecosystems.
- Experience designing data lakes, data warehouses, lakehouses, integration layers, and analytics platforms.
- Strong understanding of data governance, security, identity and access management, and compliance.
- Ability to assess complex and fragmented enterprise environments and translate business requirements into scalable technical solutions.
- Excellent communication and stakeholder management skills with experience working directly with clients and senior leadership.
- Experience within manufacturing, logistics, supply chain, finance, or other multi-site enterprise environments.
- Experience integrating ERP, CRM, MES, operational systems, and reporting platforms.
- Knowledge of AI readiness assessments, machine learning platforms, GenAI enablement, or data product development.
What we offer
- Long-term engagement on a strategic enterprise data transformation programme.
- Opportunity to define the future data platform and AI architecture for a large international organisation.
- Collaboration with experienced business and technology professionals.
- Exposure to modern cloud data platforms and enterprise-scale architecture initiatives.
- International project environment with opportunities for long-term collaboration.
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