Data Architect

What are we looking for?

At Devoteam, we believe cyber is about creating a more secure future for our customers. Our IAM consultants leverages methodologies of a digital identity platform to help clients control which employees, partners, suppliers, customers, and citizens have access to sensitive organizational applications and data. We also focus on the integrations of cutting‑edge technologies in the digital identity space. Our team is dedicated to enhancing IAM programs so our clients can mitigate risk, reduce intrusion, and secure information. If you're seeking a career in IAM, cloud systems, or identity governance then this career opportunity is right for you.

What will your day look like?

As an IAM Architect, you are responsible for defining architecture and design patterns for the consistent and efficient implementation of IAM services. You will work on the creation of high level designs for IAM solutions, based on Forgerock technologies. Further in the development lifecycle, you will provide guidance and support the engineers on the deployment of the solution and the integration with other systems.

Who will you work with?

You will be part of the Cyber Trust team with more than 50 people in Belgium, exchanging insights and knowledge, “ensuring a secure IT environment protecting the business goals”. You will work with our customer’s business and technical employees to capture, discuss and verify cyber risks. You work on flexible daily basis, on-site at client’s office, at Devoteam in Zaventem or at home. You will report to your practice manager, who will be your point of contact for development and career guidance.

Devoteam Creative Tech is Devoteam Belgium's specialized department focused on cloud‑native software engineering, application modernization, and Artificial Intelligence (including AI‑native development and AI‑infused applications).

Mission

Design and lead the strategy for cloud‑native application architectures, ensuring high availability, scalability, and resilience across hybrid or multi‑cloud environments.

Bridge the gap between development and operations by championing DevOps and DevSecOps cultures, automating CI/CD pipelines, and integrating security into the build process.

Drive modernization initiatives, migrating legacy monolithic systems to microservices, serverless, or containerized architectures using cloud‑native design patterns.

Leverage AI‑assisted software engineering tools (e.g., GitHub Copilot, ChatGPT Enterprise) to optimize the SDLC, enhancing developer productivity, code quality, and reliability.

Collaborate with stakeholders to translate business goals into technical roadmaps, selecting the right mix of cloud providers (AWS, Azure, GCP) and platforms (Red Hat OpenShift, Kubernetes).

Provide hands‑on technical leadership to development teams, conducting code reviews and ensuring best practices in software development (Java, C#, Python, or Node.js).

Define and enforce standards for infrastructure as code (IaC), automated testing, and release management to accelerate time‑to‑market.

Mentor senior developers and engineers, fostering a culture of continuous improvement and technical excellence.

Are you passionate about data‑driven platforms, machine learning models, and innovative applications? As a Data Scientist/Engineer at Devoteam, you'll play a hands‑on role in delivering impactful solutions across various clients and industries. Each mission we undertake has clear deliverables and deadlines, ensuring you gain diverse experience. For example, one month you might develop a predictive maintenance model, and the next, a customer segmentation model for a retail client.

Key Responsibilities:

• Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks.
• Data Management: Gather, prepare, and manage data for analysis.
• Model Research: Investigate and select appropriate machine learning models.
• ML Modeling: Develop and refine machine learning models.
• Client Collaboration: Spend approximately 50% of your time working directly with clients, either independently or as part of a team.

Your Role:

• Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python.
• Develop predictive and machine learning models tailored to client needs.
• Advise clients on translating their business requirements into technical solutions using machine learning techniques.
• Stay updated on the la