Lead Data Architect

Np Group
Brussel, Belgium
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Microsoft Azure Data Architecture Data Governance Data Infrastructure Extract Transform Load (ETL) Data Warehousing Enterprise Data Management Data Strategy Microsoft Fabric Data Lakes
+3 more
AI Platforms Data Pipelines Databricks

Job description

We are looking for a senior Data & AI Architect / Technical Account Lead to lead strategic Data & AI initiatives for enterprise clients in Belgium.

This is a highly client-facing position combining enterprise architecture, technical leadership, delivery and account development. You will work closely with senior stakeholders to define Data & AI strategy, design modern data platforms and translate complex technical requirements into measurable business outcomes., * Design and implement scalable Enterprise Data Architectures

  • Architect end-to-end solutions across Azure, Microsoft Fabric and Databricks
  • Lead architecture across Data Lakes, Data Warehouses and ETL/ELT pipelines
  • Define and drive Data Strategy, Modernisation, Data Products, BI, Analytics & AI
  • Establish Data Governance and Security frameworks
  • Lead Data & AI programmes within Financial Services and Insurance
  • Engage senior client stakeholders and translate business requirements into technical solutions
  • Lead distributed teams within complex enterprise environments
  • Work closely with delivery, pre-sales and sales teams throughout client engagements and deal pursuits
  • Support account development and identify opportunities to expand Data & AI services

Requirements

  • 15+ years’ experience within Data & AI, architecture or technical leadership
  • Deep technical expertise across Azure, Microsoft Fabric and Databricks
  • Strong Enterprise Data Architecture background
  • Proven experience across Data Strategy, Modernisation, BI, Analytics and AI
  • Experience delivering Data & AI programmes within Financial Services and/or Insurance
  • Strong client-facing, stakeholder management and communication skills
  • Experience leading technical teams across multiple locations
  • Ability to combine deep technical expertise with commercial and business understanding

Experience with Data Managed Services, legacy-to-cloud environments, solution accelerators and the Belgian/European market would be advantageous.

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