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Ipsen Pharma in Paris is seeking a Data & AI Platforms Solution Architect to design and evolve scalable data and AI platforms. The role blends hands-on platform engineering with architectural governance and collaboration across data, engineering, and business teams.
The ideal candidate brings 8+ years in data/platform roles, strong experience with AWS and Databricks, and fluency in English, enabling effective communication with global stakeholders.
Data & AI Platforms Solution Architect
Ipsen Pharma (SAS)
Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation.
Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries. We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company’s success. Join us on our journey towards sustainable growth, creating real impact on patients and society!
For more information, visit us at https://www.ipsen.com/ and follow our latest news on LinkedIn and Instagram .
Ipsen is strengthening its Data & AI Platforms Engineering team to accelerate the development of scalable, robust, and future-ready data platforms.
We are looking for a Data & AI Platforms Solution Architect to play a key role in designing and evolving Ipsen’s data & AI platforms architecture.
This is a highly technical and hands-on role, working at the intersection of platform engineering and data engineering. You will support project teams in designing concrete solutions while ensuring optimal use of the platform and alignment with architectural standards.
You will collaborate closely with platform engineers, data teams, and business stakeholders to ensure the delivery of scalable and efficient data and AI solutions.
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