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Thales

Global defense and aerospace electronics

Senior Consultant Data Modeling

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeVélizy-Villacoublay, FranceNo salary listedIn-person

About the Job

Requirements

  • Hold a Bac +5 qualification from an engineering or business school, with a specialization in Data, Artificial Intelligence, information systems, or digital transformation.
  • Have at least 6 years of experience in a consulting firm.
  • Master Kafka and event-driven architectures.
  • Master JSON, JSON Schema, and REST APIs.
  • Master Schema Registry for schema management and compatibility.
  • Use SQL and Python for data manipulation and processing.
  • Use Git and CI/CD for automated integration and deployment.
  • Master Control-M and batch processing.
  • Have fluent English; English proficiency is indispensable.
  • Work effectively across complex, international environments and with multiple stakeholders.
  • Translate business needs into suitable, innovative solutions that comply with regulatory requirements.
  • Demonstrate curiosity, autonomy, rigor, and interest in innovation around AI and organizational transformation.
  • Have an intrapreneurial mindset and contribute to developing the business unit through offer creation, business development, internal engagement, and knowledge capitalization.

Responsibilities

  • Advise clients on architecting and implementing Data and AI strategies.
  • Govern and design Data models, and check compliance with Data standards and principles.
  • Define data entities, relationships, business rules, lifecycles, and end-to-end data lineage.
  • Align Data models with business processes, including financing, offers, services, contracts, and invoicing.
  • Design and govern Kafka and event-driven data flows, REST APIs, JSON and JSON Schema formats, and schema management and compatibility through Schema Registry.
  • Define data and metadata management rules, ownership, classification, and quality controls, and support business stakeholders.
  • Structure data for generative AI and work with MCP, Knowledge Graph/KIF, AI agents, prompts, and automation.
  • Coordinate multidisciplinary teams, including architects, technical leads, data owners, business stakeholders, and the Data Office.
  • Apply Agile SAFe methods and use Jira and Confluence.
  • Raise awareness, onboard business units, and support data governance across business departments.

Desired Qualifications

  • Knowledge of the banking sector and BCBS 239 regulation.

About the Company

Thales

Global defense and aerospace electronics

Thales designs and delivers critical technology for aerospace, defense, and digital security. Its products include electronics, software, and data-security systems that power air travel, payments, and modern military platforms, by integrating hardware and software to build systems such as avionics, radar, cybersecurity, and secure communications that collect sensor data and protect networks. It stands out through deep industrial experience, end-to-end solutions across defense, aerospace, and cybersecurity, and a focus on AI and quantum tech, aided by strategic acquisitions and partial state ownership. Its goal is to provide reliable, secure, and connected technologies that support national security, public safety, and everyday life by solving complex security and connectivity challenges.

Company size
10,001+
Company stage
IPO
Headquarters
Meudon, France
Founded
1893

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