Freelancer profile translated to English.

Description

You are leading a Data transformation within a complex enterprise architecture, in a regulated banking environment, and you are looking for an architect who can combine technical vision, methodological rigor, and concrete execution?

I design and structure Data architectures at the heart of enterprise architecture: flow integration, Cloudera CDP/CDH platforms, vector and graph databases, data governance — ensuring that each component fits coherently into the overall IT ecosystem.

What sets me apart: a dual expertise in technical architecture and project management, forged over 18 years in a demanding banking environment (Banque de France as a reference). I know how to frame a project, lead committees, secure milestones, as well as delve into the technical details of a Hadoop cluster or a RAG chain. This ability to navigate between strategy and operations avoids the classic blind spots between architects and project managers.

Deliverables I work on: enterprise architecture diagrams (TOGAF, DAMA DMBOK), data and AI platforms in production, project frameworks and roadmaps, data governance documents, critical infrastructure migrations.

Industry field of expertise

Languages

French
Native or bilingual
English
Conversational

Workplace preferences

Can work on-site

Luxembourg (up to 50km)

Spuerkeess
Senior Data Platform Engineer | Cloudera CDP Administration & Optimization
BANKING AND INSURANCE
June 2026 - Today (1 month)
Luxembourg, Luxembourg
Administration and operation of a Cloudera CDP cluster in a banking production environment, with responsibility for level 2 and 3 support for the entire Big Data stack.

Scope of intervention:

• Daily administration of the Cloudera cluster (CDH/CDP): service management, performance monitoring, incident management
• L2/L3 Support: advanced diagnostics, complex incident resolution, escalation and coordination with Cloudera teams
• Performance optimization: tuning YARN, HDFS, Hive, Impala, Spark — reducing processing times and improving resilience
• Operations automation: implementation of automation scripts and pipelines (Ansible, Shell, Python) to reduce manual interventions
• Continuous cluster improvement: version upgrades, security hardening, integration of new components
• Collaboration with Data Engineering and Architecture teams to ensure platform availability and performance
Cloudera Data Platform Hive Ansible
Banque de France
Data Product Architect
PUBLIC SECTOR
March 2026 - June 2026 (3 months)
Context
Intervention within the Banque de France as part of the Data IT transformation, with the migration
of historical BI & analytics uses to a modern data foundation based on Cloudera CDP 7.1.9.
Main responsibilities
• Leading the analysis of business needs for a strategic department (one of the largest in
the institution) as part of the transformation of its BI and analytics uses.
1
• Translation of functional needs into technical and architectural solutions aligned with the
capabilities of the CDP data foundation.
• Cross-functional collaboration with: foundation/data platform teams, data engineers, enterprise architects
• Design and proposal of robust data architecture solutions, taking into account the
regulatory, performance, and security constraints specific to the banking sector.
• Writing detailed architecture documents (HLD/LLD) and defending technical choices in
architecture committees.
• Contribution to the alignment between historical BI uses and new data paradigms (lakehouse,
governance, analytics performance)
Key achievements
• Studies and recommendations on the adoption of Iceberg tables to modernize analytical uses and improve data management (ACID, time travel, performance).
• Work on SAP BI impersonation on Cloudera to ensure fine-grained management of access and data security.
• Implementation of reflections and solutions around the functional monitoring of data flows and analytical uses.
• Contribution to the structuring of the target data platform to support BI workloads with high volume and criticality.
Skills used
• Cloudera CDP 7.1.9 (HDFS, Hive, Impala, Spark, Ranger, Atlas, Knox)
• Data Architecture
• Iceberg
• BI Integration (SAP BI / Analytics)
• Security & Access Management (impersonation, fine-grained access control)
DASSAULT Systèmes
Project Manager and BigData Ops Architect
November 2022 - December 2025 (3 years and 1 month)
• Translation of functional needs into technical and architectural solutions aligned with the capabilities of the CDP data foundation.
• Cross-functional collaboration with: foundation/data platform teams, data engineers, enterprise architects
• Design and proposal of robust data architecture solutions, taking into account the regulatory, performance, and security constraints specific to the banking sector.
• Writing detailed architecture documents (HLD/LLD) and defending technical choices in architecture committees.
• Contribution to the alignment between historical BI uses and new data paradigms (lakehouse, governance, analytics performance)

Key achievements
• Studies and recommendations on the adoption of Iceberg tables to modernize analytical uses and improve data management (ACID, time travel, performance).
• Work on SAP BI impersonation on Cloudera to ensure fine-grained management of access and data security.
• Implementation of reflections and solutions around the functional monitoring of data flows and analytical uses.
• Contribution to the structuring of the target data platform to support BI workloads with high volume and criticality.

Skills used
• Cloudera CDP 7.1.9 (HDFS, Hive, Impala, Spark, Ranger, Atlas, Knox)
• Data Architecture
• Iceberg
• BI Integration (SAP BI / Analytics)
• Security & Access Management (impersonation, fine-grained access control)