Location

Full remote from Europe

When ?

To start ASAP until the end of the year + extension

About the job

We are seeking a highly motivated and creative Data Architect/Analyst to join the new AI startup team, dedicated to the AI and Generative AI domain. Your mission will be to design robust and scalable architectures to support our use cases.

You will be working with internal teams, as well as external partners, to create cohesive end-to-end solutions from the ingestion of data, ETL, and display/exploration in web apps and BI dashboards.

Key Outputs

• Data Architecture Design: Design and develop scalable, high-performance data architectures that support the needs of our generative AI algorithms and applications.
• Data Modeling: Define data models, schemas, and structures to optimize data storage, retrieval, and processing efficiency.
• Data Integration: Integrate data from a variety of sources, including internal databases, third-party APIs, and external data repositories, ensuring consistency, accuracy, and reliability.
• Data Analysis: Conduct in-depth analysis of large and complex datasets to identify patterns, trends, and insights that drive product innovation and development.
• Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure data quality, security, and compliance with regulatory requirements.
• Work closely with all stakeholders, including end-users and the Agile squads (full stack devs, BI devs, etc.) to ensure needs/requirements are met
• Leverage data sources from our data ocean platform, adhering to defined standards and best practices

You will work with

• Squad developers
• Data Architects/Enterprise architects
• Product Architects
• Product Owners
• Product Managers, Service Delivery teams and Tech experts to ensure correct implementation of solution architecture

Education and experience

• Proven experience (5+ years) in data architecture, data analysis, and database management.
• Proficiency in SQL, NoSQL, vector databases, as well as data warehousing and ETL tools.
• Strong understanding of generative AI technologies (e.g., GPT, Mistral, Gemini…) and their application
• Strong understanding of data modeling principles, data normalization, and dimensional modeling techniques.
• Experience with cloud-based data platforms like Azure, Google Cloud Platform or AWS.
• Familiarity with machine learning concepts and techniques, including supervised and unsupervised learning, regression analysis, and natural language processing.

Nice to have :

Hands-on experience in designing and implementing RAG architectures, LLM applications

Soft skills:

• Self managed
• Result orientation, influence & impact
• Strong communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.
• Proven ability to work effectively in a fast-paced, collaborative team environment, and adapt quickly to changing priorities and requirements.

Language skills

Fluent in English and French (a plus) to interact on a regular basis with colleagues across countries who speak both languages