Cloud Data Architect - Consultant

Orange
(Brussel), Belgium
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
Dutch, English, French

Tech stack

Java (Programming Language) Airflow Amazon Web Services Microsoft Azure Bash Shell Big Data BigQuery Unix Cloud Computing Cloud Database Computer Programming Continuous Integration
+36 more
Data Architecture Data Infrastructure Data Systems Data Vault Modeling Data Warehousing DevOps Elasticsearch Python (Programming Language) NoSQL OpenShift Windows PowerShell Scala (Programming Language) SQL Databases Workflow Management Systems Data Processing Scripting Google Cloud Cloud Platform System Sql Optimization Snowflake Apache Spark Gitlab Git Event Driven Architecture Containerization Kubernetes Information Technology Apache Kafka Azure AKS Data Management Azure Synapse Analytics Data Pipelines Docker Amazon Redshift Databricks Microservices

Job description

Cloud Data Architect - Consultant

Permanent

Fluent in French or Dutch + English

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.

What You’ll Do:

As a Cloud data architect, you will engage in developing and implementing an 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.

  • Data Platform Architecture: 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 best practices in data architecture.
  • Technologies: Source, capture, transform, and prepare 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 box thinking 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, Google Cloud, AWS).
  • Data Warehouse: Experience with cloud data warehouses (Snowflake, Databricks, BigQuery, Synapse Analytics, Redshift).
  • Data Processing: Advanced SQL skills, with experience in writing and optimizing complex queries for large datasets; experience with SQL orchestration tools such as DBT or Dataform.
  • Programming: Experience with at least one programming language: Python, Scala, Java, etc.
  • DevOps Methodologies: Strong experience with CI/CD processes and tools (GIT, Azure DevOps, GitLab).

Other preferred qualifications:

  • Deployment & Orchestration: Knowledge of Docker and orchestration platforms (Kubernetes, OpenShift, AKS, GKE) with experience in deploying and managing containerized applications; experience with micro-services and event-driven architecture.
  • Scripting & Unix: Knowledge of Unix environments and scripting languages such as Bash, PowerShell, etc.
  • Data Modeling & Concepts: Knowledge of the Data Mesh concept and experience with the Data Vault 2.0 modeling methodology.

Benefits:

  • Community of experts: As Digital Natives, we put innovation at the heart of our expertise; continuously seeking new ideas, we proudly host regular “Guild” workshops and knowledge-sharing sessions through our Data Meetups.
  • Professional growth: A place to strengthen both technical depth and professional skills (communication, ownership, stakeholder collaboration).
  • Impactful work: Exposure to real-world client contexts and business challenges where your work has visible impact.
  • Career growth: Real opportunity to grow your autonomy and career growth possibilities.
  • People-oriented culture: We value quality, feedback, continuous improvement, and openness, inclusivity and well-being at work.
  • Hybrid work: Hybrid way of working and modern collaborative office in Brussels.
  • Compelling advantages: Yearly bonus scheme, flexible mobility with possibility for a housing budget, representation and expense allowances.

Requirements

  • Interest in digital transformation and data-driven solutions
  • Proactive mindset and outside the box thinking 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, Google Cloud, AWS).
  • Data Warehouse: Experience with cloud data warehouses (Snowflake, Databricks, BigQuery, Synapse Analytics, Redshift).
  • Data Processing: Advanced SQL skills, with experience in writing and optimizing complex queries for large datasets; experience with SQL orchestration tools such as DBT or Dataform.
  • Programming: Experience with at least one programming language: Python, Scala, Java, etc.
  • DevOps Methodologies: Strong experience with CI/CD processes and tools (GIT, Azure DevOps, GitLab).

Other preferred qualifications:

  • Deployment & Orchestration: Knowledge of Docker and orchestration platforms (Kubernetes, OpenShift, AKS, GKE) with experience in deploying and managing containerized applications; experience with micro-services and event-driven architecture.
  • Scripting & Unix: Knowledge of Unix environments and scripting languages such as Bash, PowerShell, etc.
  • Data Modeling & Concepts: Knowledge of the Data Mesh concept and experience with the Data Vault 2.0 modeling methodology.

Benefits & conditions

  • Community of experts: As Digital Natives, we put innovation at the heart of our expertise; continuously seeking new ideas, we proudly host regular “Guild” workshops and knowledge-sharing sessions through our Data Meetups.
  • Professional growth: A place to strengthen both technical depth and professional skills (communication, ownership, stakeholder collaboration).
  • Impactful work: Exposure to real-world client contexts and business challenges where your work has visible impact.
  • Career growth: Real opportunity to grow your autonomy and career growth possibilities.
  • People-oriented culture: We value quality, feedback, continuous improvement, and openness, inclusivity and well-being at work.
  • Hybrid work: Hybrid way of working and modern collaborative office in Brussels.
  • Compelling advantages: Yearly bonus scheme, flexible mobility with possibility for a housing budget, representation and expense allowances.

Apply for this position

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