Cloud Data Architect - Consultant
Role details
Job location
Tech stack
Job description
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.
- 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 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
Requirements
- 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:
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A master's degree or PhD in Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field
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At least 5 years professional experience with data related ICT projects.
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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.
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Cloud Platforms: Experience with at least one Cloud platform (Azure, Google cloud, AWS).
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Data warehouse: Experience with Cloud data warehouses (Snowflake, Databricks, BigQuery, Synapse Analytics, Redshift).
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Data Processing: Advanced SQL skills, with experience in writing and optimizing complex queries for large datasets. Experience with SQL orchestration tool such as DBT or Dataform.
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Programming: Experience with at least one programming language: Python, Scala, Java, etc.
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DevOps methodologies: Strong experience with CI/CD processes and tools (GIT, Azure DevOps, GitLab).
It is not a requirement, but other preferred qualifications would be:
- Deployment & Orchestration:
- Knowledge of Docker and orchestration platforms (Kubernetes, Openshift, AKS, GKE...) with experience in deploying and managing containerized applications
- Experience with micro-services & event-driven architecture
- Scripting & Unix: Knowledge of Unix environments & scripting languages such as Bash, Powershell,…
- Data Modeling & Concepts: Knowledge of the Data Mesh concept & Experience with the DataVault 2.0 modeling methodology
Interests and soft skills we value What success looks like
We seek individuals who embody our values - Agile, Expert, Together, and Authentic. You thrive on ambitious goals, collaborate openly, and make a meaningful impact with integrity. We value professionals who combine deep expertise with a passion for learning, innovation, and exceeding expectations. If you show initiative, accountability, and support your colleagues, you'll flourish with us. Excellence comes from people who lead by example and pursue personal and professional growth.