Data Architect

Mission Overview:

Keystone Solutions is seeking a Data Architect for a consultancy mission at a client site. The successful candidate will provide dedicated expertise in data architecture to analyze the data landscape of the client, produce mapping and conceptual and logical modeling, and co-construct the target data architecture along with the client's teams.

Key Responsibilities:

• Analyze the existing data landscape, including sources, flows, reference data, and pain points.
• Model the conceptual and logical structures of key business objects.
• Identify reference data, master systems, and data ownership rules.
• Formulate applicable data architecture principles and rules.
• Collaborate with solution architects, data engineers, and business analysts to ensure alignment and integration.
• Produce actionable roadmaps and prioritized trajectories for implementation.

Required Skills and Experience:

• Proven experience in data architecture and modeling.
• Strong analytical skills to assess existing data landscapes.
• Ability to work collaboratively with cross-functional teams.
• Excellent communication skills to articulate architectural choices.
• Experience in governance frameworks and data management principles.

Why Join Keystone Solutions?

As a consultant at Keystone Solutions, you will engage in dynamic projects that offer a variety of challenges across different client environments. This role provides turbo-charged learning opportunities and a commitment to your career growth. Being a part of Keystone means embodying our core values in every engagement, ensuring that you contribute to impactful solutions while advancing your professional journey.

If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today at Keystone Solutions Career Portal .

Duration: As soon as possible - 30/04/2027 8 months • (full time)

Skills required:

• Animation d'ateliers et instruction d'une décision d'architecture - Level: Confirmed - Most recent: This year
• Cartographie d'un paysage de données — sources, flux, applications, référentiels ; analyse des écarts - Level: Expert - Most recent: This year
• Données de référence et qualité — MDM, systèmes maîtres (SoR), dictionnaire de données, catalogue de métadonnées - Level: Expert - Most recent: This year
• Frameworks et canevas d'architecture — TOGAF, ArchiMate, DAMA-DMBOK ou équivalents - Level: Confirmed - Most recent: This year
• Gouvernance des données — rôles, cycle de vie, droits d'accès, RGPD, principe du « only once » - Level: Confirmed - Most recent: This year
• Modélisation de données conceptuelle et logique — entité-association / Merise, UML, ArchiMate ; modélisation dimensionnelle - Level: Expert - Most recent: This year
• Outils de modélisation et de cartographie (type Sparx Enterprise Architect) et outils de catalogage de données - Level: Confirmed - Most recent: This year
• Paradigmes d'architecture de données — hub, lakehouse, data mesh, data fabric, virtualisation : capacité à les comparer et à arbitrer au regard d'un contexte contraint - Level: Expert - Most recent: This year
• Patterns d'échange et d'exposition — API, événementiel, réplication, virtualisation, alimentation analytique : connaissance des patterns et de leurs implications, capacité à en fixer les règles d'usage - Level: Confirmed - Most recent: This year
• Sécurité et souveraineté des données — traduction des contraintes en règles d'architecture - Level: Confirmed - Most recent: This year

Language requirements:

English
Level Passive knowledge
French
Level Native