Cloud Data Architect

Our Digital & Data team at Orange Business is a dynamic community of expert consultants revolutionizing Customer Experience, Cloud, Data, and AI across various sectors, including retail, finance, manufacturing, life sciences, and public services.

With 30 years of expertise, we continue to drive business transformation across industries by applying the latest technologies at scale in a sustainable way.

We have a significant international presence, with 20% of our activity extending beyond Belgium, and this number continues to grow. By joining us, you will be part of a global impact on businesses around the world.

Check out some of our ongoing projects:

• At Carrefour, Orange Business ensures the seamless operation and evolution of the Data Platform, managing both analytical and operational data flows with a focus on reliability and performance. We handle diverse workloads, including batch and stream processing. By processing everyday terabytes of data that feed dashboards and web APIs, we empower Carrefour to leverage data-driven insights and support their business growth.
• Big Pharma International Company: Orange Business migrated a Drug Discovery Data Platform hosted on-premises from a Hadoop stack to Azure. During the migration, we improved various data flows to reduce processing time, implemented proactive data quality checks, and optimized the CI/CD pipelines. Our efforts resulted in a more efficient and reliable platform, allowing scientists to quickly and safely assess the potential of tested molecules for new drugs development.
• For Paradigm, Orange Business created a data platform and a unified set of tools for all public sector to conduct data projects, with a focus on Kubernetes and DevOps processes to enable self-service and standardization. We were able to handle many projects from all administrations, ranging from API management to data processing & analytics, as well as data science modelling

This is a great opportunity for someone who enjoys owning deliverables, working close to the business, and growing their craft in a supportive, high-standards engineering culture.

Interested in taking part in this exciting journey? Please take a look at the following requirements and let’s meet up if that matches your profile

What You’ll Do:

All the responsibilities we’ll trust you with

As a Cloud data architect, you will engage in developing and implementing organizational cloud data strategy in line with business processes. Your role will be pivotal in driving innovative data solutions and leveraging the full potential of data technologies at scale.

- Lead the design and implementation of modern data platform architectures.

- Drive the development of robust data pipelines and storage solutions using cutting-edge technologies, ensuring optimal performance, scalability, and security.

• Mentorship and Team Guidance:
• Mentor and guide a team of Data Engineers, ensuring project success and technical excellence.
• Client Engagement and Strategy:
• Partner with clients to define and implement strategic, data-driven solutions.
• Industry Trends and Monitoring:
• Stay updated on industry trends, emerging technologies, and obtain relevant certifications to ensure the application of best practices in data architecture.
• Technologies: Sourcing, capturing, transforming, and preparing data using the newest technologies such as Kafka, Spark, DBT, Snowflake, BigQuery, Synapse, Databricks, Airflow, Elasticsearch, and many more.

Who you are:

What matters most for this role

• Interest in digital transformation and data-driven solutions
• Proactive mindset and outside the boxthinking to tackle challenges.
• You are able to explain technical concepts to a non-technical audience.
• You excel in interpersonal communication and know how to have a professional and commercial approach with customers.
• You value collaboration as a way to succeed
• Strong communication and presentation skills in English + French or Dutch.

Your technical expertise:

• A master’s degree or PhD in Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field
• At least 5 years professional experience with data related ICT projects.
• Data Platform Architecture: Experience with Modern Data platform architecture rollout from conception to implementation.
• Deep understanding of data modeling techniques, including relational (Kimball, normalization) and NoSQL databases.
• Cloud Platforms: Experience with at least one Cloud platform (Azure, G