Data Architect

Rexel Group; Paris; Hybride; EUR 110 000 - 140 000; Plein temps

Avantages offerts par ce poste

Health insurance

Retirement plans

Transport allowance

Meal allowance

Profit sharing

Résumé du poste

Rexel Group in Paris is seeking an experienced Data Architect to drive our Data Platform and enable advanced analytics and AI initiatives across Europe. You will define roadmaps, ensure data models and pipelines are scalable, secure, and well-governed, and partner with IT managers in several countries to deliver value for internal customers.

You will lead data architecture discussions, establish standards, and stay hands-on with conceptual, logical, and physical data modeling while collaborating

Qualifications

• Engineering degree or equivalent with 10+ years of experience.
• Proven experience delivering large-scale data projects and collaborating with offshore teams.
• Strong knowledge of data modelling, data integration, and cloud data platforms.

Responsabilités

• Drive evolution of Rexel’s enterprise data architecture.
• Define data strategies, data flows, and data models across domains.
• Lead architecture governance meetings with country IT services and stakeholders.
• Ensure data quality, metadata management, and observability across pipelines.
• Collaborate with central hubs to enable AI-ready data platforms.

Connaissances

Data architecture

Data modeling

Snowflake

Power BI

SQL

Leadership

Offshore collaboration

Governance

Formation

Engineering degree

Outils

DBT

Atlan

Snowflake

Description du poste

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.
• 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.
• 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, 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.

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, performance and suitability for analytics and AI usage.
• 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.

Qualifications

• Engineering degree (or equivalent) with at least 10 years of professional experience
• Proven experience delivering large-scale data projects
• Significant experience working with offshore teams is mandatory (India would be a plus)

Hard skills

• Expert knowledge of project management methodologies and tools.
• Strong expertise in Information Technology systems and architectures.
• Extensive expertise in data modelling principles and methodologies, including conceptual, logical and physical data models.
• Strong expertise in both dimensional and operational data modelling.
• Solid experience in software development and SQL.
• Good knowledge of Power BI is a plus.
• Hands‑on experience with data catalogue tools, such as Atlan.
• Proven experience with Snowflake is mandatory.
• Experience with DBT is a plus.

Soft skills

• Excellent leadership skills, with proven experience collaborating with cross‑functional teams.
• Ability and seniority to challenge country business teams and question existing processes when relevant.
• Pragmatic and solution‑oriented mindset, with the ability to address complex issues and translate business needs into effective solutions.
• Strong change management skills, with the ability to drive transformation and successfully engage and onboard business teams.

Additional Information

Rexeloffersan attractive compensation packagewitha 13-month basesalaryand anindividualperformance-basedbonus. Thecompanyalsoprovidesa profit-sharing plan andadditionalbenefits(healthinsurance, retirement plans, transport andmealallowances, etc.).