{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Architect H/F
Role details
Job location
Tech stack
Job description
We are seeking a Lead Data Architect to secure the urbanization of our data platform and industrialize the delivery of high quality data products. Your primary mission is to design and govern a coherent, scalable data architecture that accelerates time to value for Analytics and AI use cases by ensuring that reliable and well certified data are delivered through a robust end to end process. As a Lead, you will not only define the target data architecture and standards but also manage and coor-dinate a team of Data Architects (external resources initially): you will monitor their work, ensure con-sistency across domains, and build a strong data architecture community and capabilities over time.
WHAT ARE YOU GOING TO DO?
- Leadership & Team Management (Data Architects)
o Promote Data Architecture strategy & vision o Lead and coordinate a pool of Data Architects (primarily external partners) o Plan, prioritize, and allocate architecture work across initiatives and domains to maximize impact and coherence o Ensure consistency of architectural approaches, models, and deliverables across all Data Architects o Provide day to day guidance, coaching, and feedback to Data Architects to develop their expertise and align them with Group standards o Define and monitor expectations and deliverables o Build and ensure proper animation of the Data Architecture community (rituals, best practice sharing, documentation, training) o Ensure alignment with Group data strategy and Enterprise architecture principles
- Data Architecture:
o Update and maintain the target data platform architecture to build the Single Source of Truth and support current and future Analytics & AI needs o Urbanize the data landscape by structuring domains, data products, and shared capabili-ties o Enforce reference architectures, design patterns, and standards across data domains and platforms (e.g., data lake, enterprise data warehouse, data domain factories...)
- Data Modeling:
o Define modeling standards, patterns, and best practices (conceptual and logical models) o Lead and review the design of complex data models across domains (analytical, data vault, dimensional/star schemas, semantic models) o Guarantee the semantic consistency, normalization where needed, and optimal denormalization for performance and usability o Ensure data models are robust, evolutive, and designed for reusability across multiple use cases and data products o Coach and challenge Data Architects and Data Engineers on modeling decisions to safeguard data quality, integrity, and long term maintainability
- Data Product Strategy, Lifecycle & Certification
o Define the data product blueprint (contract, SLAs, quality criteria, ownership, classifica-ion, metadata, documentation) o Design and continuously improve the delivery process for data products (methodology, templates, gates, design authority and governance) o Lead and standardize the end to end data product lifecycle process: framing, design, build, test, certification, deployment, and evolution o Work with business stakeholders and Analytics/AI teams to translate use case requirements into sustainable, reusable data products o Ensure traceability and lineage from source systems to data products, enabling trust and explainability o Implement a robust data product certification framework (quality checks, UAT, Run organization, deliverable sign offs, ...).
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Cross Functional Leadership & Collaboration o Act as the architectural lead and primary point of contact for data platform and data product architecture topics o Collaborate closely with Business stakeholders, Enterprise & Solution Architects, Data En-gineers, Data Scientists, AI/ML engineers, and Data Governance & Data Management experts o Influence and align technical and business stakeholders around a common data architecture vision and roadmap
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Technology Watch & Continuous Improvement o Evangelize modern data architecture, data product thinking, and platform capabilities across the organization o Evaluate and recommend technologies, tools, and architectural approaches that accelerate data product delivery and improve reliability
Requirements
12+ years of professional experience in data related roles, including significant experience as a Data Architect and several years in a lead/principal capacity
- Strong communication, influencing, and leadership skills, with the ability to align technical and business stakeholders around a common data vision
- Experience managing or coordinating external partners/consultants, ideally in a data or architec-ture context
- Excellent analytical and problem solving skills, with a strong delivery and outcome orientation
- Proven track record in data modeling excellence:
- Mastery of conceptual, logical modeling
- Strong experience in data warehousing and analytics modeling (e.g., dimensional/star schemas, 3NF).
- Solid experience with Data Vault 2.0 methodology
- Ability to challenge and optimize existing models for performance, scalability, and main-tainability
- Deep expertise in ETL/ELT processes and integration patterns
- Strong experience with cloud based data solutions (e.g., AWS, Google Cloud, Snowflake) and modern data platform components
- Solid understanding of Analytics and AI/ML concepts
- Experience with BI/Analytics & Exploration tools (e.g., Qlik, PowerBI, Sigma...)
- Understanding of data governance and data management practices, including knowledge of tools such as:
- Data catalog (e.g., Atlan)
- Data quality & observability (e.g., Sifflet)
- Master Data Management (e.g., Semarchy)
- Demonstrated ability to define and run data architectural standards, review boards, or design au-thorities.
