Data Architect

Smals

At Smals, over 2000 professionals shape the future of ICT for society. Their advanced ICT systems enhance client services in various domains like work, family, and health, including platforms like eHealth and ICT Dimona.

In this role you can expect to have the responsibilities:

• Define the architecture of functional components for the data platform including integration processes, data quality, data lake, and data warehouses.
• Responsible for both data and technical architecture of the analytics data platform.
• Define conceptual data modeling and master data management processes.
• Ensure data security needs and privacy regulations are met, with proper documentation.
• Evaluate and select tools and components for optimal data management, including cloud and on-premise environments.
• Collaborate with project teams throughout project lifecycles in an agile manner.

This role comes with the following benefits:

• Varied and socially engaged job with meaningful ICT solutions.
• Flexible working hours and extensive teleworking policy.
• Numerous internal and external training opportunities.
• Competitive salary with extra-legal benefits like hospitalization insurance, pension plan, meal vouchers, eco-cheques, and commuting expenses reimbursement.
• Mobility budget for IT roles, which can cover a company car or public transport expenses and potentially housing costs.
• Discounts on various products and services via 'Benefits at Work' platform.
• Equal opportunity policy, with emphasis on salary equality.

This role requires you to have:

• University degree in computer science or equivalent.
• At least five years of experience in data architecture.
• Experience in data warehouse and analytics platform architecture.
• Strong conceptual and data modeling skills.
• Knowledge and experience in data security and GDPR privacy regulations.
• Familiarity with cloud data solutions and strategies for cloud migration.
• Proficiency in SQL, SSIS, SSAS, SSRS, and SAS.
• Experience working in agile teams.
• Strong communication and problem-solving skills.
• Fluency in a second national language and English.

You would benefit from having:

• Experience in metadata management and master data management (MDM).

Smals promotes equal opportunities and values equality in salary.