Data Architect

Company Description

Rexel. Electrifying solutions that make a sustainable future possible.

Rexel, worldwide expert in the professional multichannel distribution of electrical products and services for the energy world, addresses three main markets - residential, commercial, and industrial. Passionate, dedicated and highly knowledgeable, our people are instrumental in bringing innovative electrification solutions to the field and making energy transition happen. We believe in bringing positive energy to everything we do.

This Company operates through a network of over 1,900 branches in 17 countries, with more than 27,000 employees. The Group’s sales were €19.4 billion in 2025.

Join Rexel’s IT & Digital Team – Driving Innovation with Axelerate 28 :

With over 100 professionals across our Paris and Dallas offices, supported by a strong offshore and neashore teams, Rexel’s IT & Digital organization is a key enabler of our new strategic plan, Axelerate 28.

Whether you’re passionate about delivering world-class digital experiences for our customers, employees, or suppliers, or eager to tackle advanced Data and AI use cases that help Rexel stand out as a market leader, we’re looking for technology experts to fuel our transformation.

We are actively innovating across critical domains: Digital Platforms and Microservices, Hybrid Cloud, Container-as-a-Service, Advanced Data and AI Cloud Technologies, Cybersecurity, Agile & DevSecOps, and Program & Project Management.

Joining Rexel’s IT & Digital teams means becoming part of a dynamic and forward-thinking environment where your contributions make a real difference. You’ll collaborate with diverse and skilled teams, work on high-impact projects, and grow both professionally and personally.

At Rexel, innovation is not just encouraged — it’s expected. We empower our teams to think creatively, challenge conventions, and help shape the future of energy solutions.

Job Description

Your Impact :

At Rexel, we make our teams more successful by becoming a data driven company through the systematic adoption of predictive analytics. As we accelerate this transformation, we open a new position of Data Architect in our Data & Integration Technologies Teams.  

As a Data Architect, your mission will be to drive the development of the Data Platform, the technical foundation supporting Advanced Analytics Solutions, by defining the technological roadmap and ensuring the continuous improvement of the platform and make the link with the AI and advanced analytics solutions that are supported by the data platform.  

You will be key in establishing a close link between the central Hub teams and IT managers in several European countries. And you will act as an ambassador for the Data Platform, securing rapid adoption and enabling value generation for your internal customers.

Your Day-to-Day Responsibilities :

1) Drive the evolution of Rexel’s enterprise data architecture 

• Partner with data citizens, country IT teams, and business stakeholders to implement data strategies, design data flows, and develop conceptual, logical, and physical data models. 

• Act as a subject-matter expert and reference point for data modeling, ensuring consistency, reusability, and alignment with existing data assets and enterprise architecture principles. 

• Define and govern data modeling, data integration, data quality, metadata management, and design standards across the organization. 

• Establish best practices for data products, data domains, data contracts, APIs, event-driven integrations, and self-service analytics. 

• Set up and lead key architecture and governance meetings with country IT services, ensuring clear decisions, ownership, and a defined path forward. 

• Keep up to date with industry trends and evaluate emerging technologies in cloud data platforms, artificial intelligence, machine learning, analytics, automation, and data governance. 

• Contribute to the definition of an AI-ready data architecture, ensuring that data is discoverable, trusted, secure, well-governed, and suitable for advanced analytics and AI use cases. 

2) Design and develop Rexel’s modern data platform 

• Design and maintain Rexel’s enterprise data model, and own its lifecycle, documentation, dependencies, and end-to-end lineage. 

• Design and evolve cloud-native data platforms, including data lakes, lakehouses, operational data stores, curated data layers, data marts, and analytical data products. 

• Define scalable and resilient data architectures using modern storage, processing, integration, and analytics technologies rather than relying solely on traditional relational database management systems. 

• Identify the architecture, infrastructure, interfaces, and integration patterns required to connect operational systems, SaaS applications, APIs, files, and other enterprise data sources. 

• Design and support automated batch and real-time data pipelines, including orchestration, monitoring, data validation, error handling, and recovery mechanisms. 

• Establish data observability practices covering pipeline health, freshness, completeness, accuracy, availability, schema changes, lineage, and service-level expectations. 

• Support the implementation and adoption of enterprise data cataloguing and metadata management tools, ensuring that critical data assets are documented, searchable, classified, and assigned to accountable owners. 

• Collaborate with data governance teams to implement data ownership, business glossaries, data classification, access policies, retention rules, and regulatory requirements. 

• Design data structures and interfaces that support reporting, advanced analytics, machine learning, generative AI, and other data-driven applications. 

• Ensure that data models and platform components support AI and ML use cases, including feature management, training datasets, model inputs, data lineage, explainability, and responsible AI principles. 

• Identify and address security, privacy, compliance, performance, scalability, and cost-management considerations across the data platform. 

• Contribute to the design of semantic layers and reusable analytical models that enable consistent business definitions across dashboards, analytics, and AI applications. 

• Remain hands-on in conceptual, logical, and physical data modeling, data architecture, and platform design. 

3) Establish standards, methodologies, and knowledge across the Data Platform 

• Develop, maintain, and document standards and methodologies covering data architecture, data modeling, data integration, data quality, metadata, observability, and platform engineering. 

• Maintain onboarding documentation, architecture guidelines, reference patterns, playbooks, and knowledge bases for internal teams and implementation partners. 

• Promote common data definitions, reusable patterns, and consistent implementation practices across countries and business domains. 

• Provide expert judgment on data model efficiency, scalability, maintainability, performance, and suitability for analytics and AI use cases. 

• Define and monitor validation processes to ensure that data models, pipelines, data products, and platform components meet agreed quality and governance standards. 

• Support architecture reviews, design authority processes, and technical assessments for new data initiatives. 

• Encourage a culture of data ownership, data literacy, continuous improvement, and engineering excellence across Rexel. 

• Share knowledge with solution architects, data engineers, analytics teams, data stewards, and business stakeholders through workshops, coaching, and communities of practice.