AI Data Architect, REMOTE WARSAW

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.


Optional

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.

  • 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.
,[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.] Requirements: Azure, Microsoft Fabric, Databricks, AWS Additionally: Sport subscription, Private healthcare.
Data publikacji: 2026-07-17
APLIKUJ