Profile
Enterprise Data and Cloud Architect with 20+ years of experience, built from the ground up: five years designing data marts and warehouses as a data engineer, nine years architecting Hadoop and streaming platforms for tier-one banks, and seven years designing and migrating cloud data platforms at Amazon Web Services, Decathlon and Engie.
That path gives me a rare combination: I have written the transformations, run the clusters and migrated the platforms that I now define in target architectures. I translate business objectives into secure, scalable, governed and cost-conscious data platforms, and I make technology decisions on evidence — through structured evaluations, proofs of concept and cost models rather than vendor preference.
I have shaped data-platform strategy for Engie, Decathlon, Schneider Electric, Santander UK, Chainalysis, the Bank of England, BNP Paribas, Société Générale, HSBC and SNCF. I hold eight AWS certifications, including Solutions Architect – Professional and DevOps Engineer – Professional, and I am an engineering graduate of École Centrale de Lille.
Career trajectory
Phase 1 · 2005 – 2009
Data Engineering
Capgemini, for Société Générale, SNCF and HSBC
Data marts · Warehouses · ODS · OLAP cubes · ETL
Phase 2 · 2010 – 2018
Data Architecture
BNP Paribas · Bank of England
Hadoop · Kafka · ELK · IaC · Teradata → Hadoop · HDP → CDP
Phase 3 · 2019 – Present
Cloud Architecture
Amazon Web Services · Decathlon · Engie
Lakehouse · AWS native → Databricks · On-premises → AWS · SMUS
Each phase built on the last: the modelling and ETL discipline of data engineering informed how I architected distributed platforms, and running those platforms shaped how I now design for the cloud.
Leadership & architecture capabilities
- Enterprise architecture
- Target-state architecture · Data and cloud strategy · Architecture roadmaps · Integration patterns · Standards and design governance
- Transformation leadership
- Data-platform modernisation · Cloud adoption and migration · Legacy-platform renewal · Technology rationalisation · Cost and performance strategy
- Governance & risk
- Data governance · Security architecture · Access control · Data quality · GDPR principles · Resilience and multi-region design
- Business alignment
- Stakeholder engagement · Architecture workshops · Strategic advisory · Business-to-technology translation · Cross-functional alignment
Technical expertise
- Cloud platforms
- Lakehouse & warehousing
- Distributed systems
- Data engineering
- Data modelling
- Automation
Professional experience
Phase 3 — Cloud Architecture
2019 – PresentDesigning cloud-native target architectures, leading platform decisions on evidence, and migrating enterprise data estates to AWS and Databricks.
Senior Cloud Data Architect · Engie
2026 – PresentGlobal energy group
I lead the operational migration of Engie's data platforms from on-premises infrastructure to AWS, and I am building the lakehouse architecture that will host them on Amazon SageMaker Unified Studio (SMUS) and the Cloud Data Hub.
Migration leadership
- Lead the operational migration of data platforms and workloads from on-premises infrastructure to AWS.
- Define migration waves, sequencing and cutover approach to protect business continuity.
- Coordinate engineering, infrastructure, security and business teams throughout the migration.
Lakehouse architecture
- Design and build the target lakehouse architecture on AWS, with Amazon SageMaker Unified Studio (SMUS) as the unified environment for data, analytics and AI work.
- Build the lakehouse around the Cloud Data Hub so that data can be published, discovered and shared across the group under common governance.
- Define the governance, security and access-control patterns that the platform applies by default.
Senior Data Architect · Decathlon
2024 – 2025Global sports retailer
I owned the architectural direction for moving Decathlon's data platform from AWS-native data services to a full Databricks platform on AWS. The role combined target-state design, technology evaluation and hands-on guidance to the engineering teams carrying out the transition.
Architecture direction
- Shaped the target architecture for consolidating AWS-native data services into a full Databricks platform, covering ingestion, processing, governance and analytical consumption.
- Defined the migration approach and sequencing so that workloads moved in controlled waves while existing reporting kept running.
- Set architecture principles and design standards that engineering teams applied consistently across domains.
Evidence-based platform decisions
- Led architecture evaluations and PoC/MVP activities, assessing platform capabilities, design trade-offs, performance and cost to inform technology decisions.
- Documented recommendations and their rationale for decision-makers.
Data patterns and modelling
- Defined reference patterns for ingestion, change data capture (CDC), transformation and analytical consumption on Databricks, designed for scalability and operational efficiency.
- Designed data models and transformation approaches that preserved business rules, reporting consistency and analytical integrity throughout the migration.
- Worked with business and analytics stakeholders to validate that migrated datasets reproduced trusted figures before legacy workloads were retired.
Senior Solutions & Data Architect · Amazon Web Services
2019 – 2023Enterprise and strategic customers
This role marked my move from building on-premises data platforms to designing them in the cloud. Over four years I advised enterprises on cloud data strategy as a solutions architect, then designed enterprise data platforms for strategic customers in AWS Professional Services, across industrial, financial-services and blockchain-analytics sectors.
Advisory and platform evaluation
- Led customer architecture workshops and AWS Immersion Days to assess cloud opportunities, understand business drivers and define suitable architectural approaches.
- Designed hybrid-cloud and AWS lakehouse architectures for enterprise ingestion, analytics and API-based data consumption.
- Led comparative, cost-based PoCs across Amazon Redshift, Snowflake and Databricks, including trade-off analysis of Apache Iceberg and Delta Lake.
- Delivered recommendations balancing business requirements, scalability, performance, operational complexity and total cost, for executive and technical audiences.
Schneider Electric — enterprise data platform
- Designed a multi-region, hub-and-spoke enterprise data-platform architecture that lets business units integrate and share data at scale under central standards.
- Defined a governed Bronze/Silver/Gold lakehouse framework, aligning analytical workloads, dimensional models and transformation patterns with enterprise data requirements.
- Established architecture patterns for data governance, fine-grained access control, security and cloud cost optimisation, adopted as the reference for onboarding new domains.
- Worked with enterprise architecture, security and business stakeholders to align the platform roadmap with group-wide data strategy.
Chainalysis — lakehouse and cloud migration
- Designed an AWS lakehouse using Apache Iceberg on Amazon S3, providing open-table-format storage with schema evolution and reliable large-scale analytics.
- Supported the migration of data workloads from Google Cloud Platform to AWS, including target design, migration approach and technical guidance to engineering teams.
Santander UK — hybrid data platform
- Designed a hybrid data-platform architecture connecting on-premises and AWS environments, integrating networking, identity management and workload orchestration.
- Addressed the security, connectivity and compliance requirements of a regulated retail bank within the design.
Phase 2 — Data Architecture
2010 – 2018Moving from building data stores to architecting the distributed platforms underneath them, in demanding, regulated banking environments.
Big Data Architect · Bank of England
2017 – 2018Central bank
I led the architecture of the Bank's big data platform migration and prepared the ground for its move towards public cloud, in an environment where continuity, security and auditability were non-negotiable.
Platform migration
- Led the architectural migration from Hortonworks Data Platform (HDP) to Cloudera Data Platform (CDP).
- Planned and coordinated platform provisioning and migration preparation so that data engineering and analytics teams could keep working throughout.
- Ran knowledge transfer and operational support to embed the new platform with internal teams.
Security and cloud readiness
- Defined security best practices for analytical workloads on the platform.
- Defined security principles for migrating data platforms towards public-cloud environments, a first step in the Bank's cloud journey and a bridge to my next role at AWS.
Big Data Architect · BNP Paribas
2010 – 2016Global bank
Over seven years I moved from engineering data solutions to architecting the bank's distributed data platforms. I designed how Hadoop, Kafka and ELK platforms were built, provisioned and scaled, and how analytical workloads moved off Teradata.
Platform engineering and automation
- Defined reusable architecture approaches and Infrastructure-as-Code modules to provision Hadoop, Kafka and ELK platforms consistently and repeatably.
- Designed scalable infrastructure that allowed cluster capacity to be added or removed dynamically without service interruption.
- Applied DevOps practices to platform operations, reducing manual configuration and environment drift.
Legacy modernisation
- Established roadmaps and architecture practices supporting the transition of Teradata workloads to Hadoop-based platforms.
- Worked with application and data teams to plan workload migration while keeping downstream consumers running.
Streaming and observability
- Architected Kafka platforms for event and data streaming, and ELK platforms for log analytics and operational visibility.
Phase 1 — Data Engineering
2005 – 2009Learning the craft from the data up: modelling, building and delivering decision-support systems for major French and international clients.
Data Engineer · Capgemini
2005 – 2009Consulting · banking and transport clients
At Capgemini I designed and built data marts, warehouses and analytical cubes end to end, from source analysis and modelling to transformation and delivery to business users. These projects grounded my later architecture work in a practical understanding of how data is modelled, loaded and consumed.
Société Générale — marketing analytics
- Designed a geospatial marketing data mart to support branch-location optimisation, combining customer, branch and geographic data.
- Transformed SAS-based customer scoring into a Marketing Cube, giving marketing teams faster, self-service analysis and better lead targeting.
SNCF — enterprise data platform
- Designed an enterprise data platform structured in three layers: Operational Data Store (ODS), Data Warehouse and Marketing Data Warehouse.
- Defined how data flowed and was transformed between layers so that operational and marketing reporting drew on consistent, reconciled data.
HSBC — credit-risk analytics
- Designed a credit-risk data mart supporting the scoring and classification of private and professional customers.
- Modelled the data to meet the accuracy and traceability expectations of risk teams.
Certifications, education & languages
AWS certifications (8)
- Solutions Architect – Professional
- DevOps Engineer – Professional
- Specialty: Big Data · Security · Advanced Networking · Data Analytics · Database
- Solutions Architect – Associate
Verify on Credly →
Education
- École Centrale de Lille
Engineering degree, 2002 – 2005 - Classes préparatoires
MPSI / MP*, 2000 – 2002
Languages
English · French · Spanish