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Cloud Data Architect

Uni Systems

Brussel Hoofdstad

Sur place

EUR 80 000 - 120 000

Plein temps

Hier
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Résumé du poste

A leading technology solutions provider is seeking a skilled Cloud Data Architect to join their team in Brussels. The ideal candidate will have extensive experience in cloud environments, focusing on designing and implementing data analytics platforms. Responsibilities include overseeing migrations, creating data models, and mentoring staff. Candidates must possess a Master's Degree and significant experience with Microsoft Azure. This position offers a dynamic environment with opportunities for professional growth.

Qualifications

  • 15+ years of relevant professional experience.
  • 7+ years with public cloud environments and technologies.
  • 3+ years with a broader range of cloud environments.
  • 5+ years of data analytics and services experience.
  • 2+ years designing cloud architectures and DevOps environments.

Responsabilités

  • Design and implement a cloud-based data analytics platform.
  • Manage the migration from on-prem to cloud.
  • Create and maintain data marts and dimensional models.
  • Mentor technical staff on data analytics tools.

Connaissances

Cloud architecture design
Data analytics
Microsoft Azure
Data lakes
Machine Learning

Formation

Master's Degree

Outils

Microsoft PowerBI
Microsoft Azure DevOps
Kafka
Description du poste

At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a professional Cloud Data Architect to join our UniQue Brussels team

Responsibilities
  • Design and implement a cloud-based data analytics platform for the HR Family services, including data lakes, data warehouses, data visualization tools etc.
  • Analyse the current on-prem data analytics platform and design the transition strategy to the cloud target platform.
  • Manage the migration from on-prem to cloud
  • Contribute to the design of HR Family Enterprise Architecture, with focus on data.
  • Design, develop and maintain ELT processes to ensure accurate and timely data integration from multiple sources.
  • Deploy data analytics platform infrastructure
  • Create and maintain data marts and dimensional model, and the logic to keep these updated.
  • Implement best practices to ensure the integrity of data
  • Conduct performance tuning and optimization of the data warehouse environment
  • Develop and maintain data models to ensure efficient data storage and retrieval
  • Mentor technical staff and bring them up to date with the data analytics platform tools and technologies
  • Participate in technical and business meetings with IT and business stakeholders to identify data needs, clarify requirements, and design solutions
  • Create and govern platform documentation including architecture, technical requirements,specifications, system design
What you need to succeed
  • Master Degree + 15 years of relevant professional experience
  • At least 7 years with public cloud environments and technologies, including Microsoft Azure and Microsoft Fabric.
  • At least 3 years with a broader range of cloud environments and technologies, including Databricks, Cloudera, Hadoop.
  • At least 5 years of data analytics and services (Data Lakes, Machine Learning, Data Warehouses, Business Intelligence).

At least 2 years in:

  • Designing cloud architectures including containers, high availability solutions, cloud, serverless compute, infrastructure as code.
  • Designing DevOps environments and CI/CD pipelines (including with Azure DevOps).
  • Implementing data catalogue solutions (Including Microsoft Purview)
  • Designing and implementing secure data-oriented solutions in public cloud including customer managed encryption keys for sensitive non-classified data (Azure Key Vault)

Experience in:

  • Migrating to and building native cloud infrastructures.
  • Implementing real-time data processing using Kafka

The following certificate is required for the performance of tasks:

  • Microsoft Azure cloud certifications – basic and intermediate levels (e.g. Azure Data Fundamentals, Implementing an Azure Data Solution etc.).

In-depth knowledge of:

  • Micro-services / functional architecture design, development, deployment, and instrumentation in Microsoft Azure.
  • Secure application design and development in Azure.
  • Network architecture, network security and TCP/IP, network virtualization and/or software defined networks
  • Cloud and on-prem business intelligence reporting tools (Microsoft PowerBI, QlikSense)
  • Data warehouse design & architecture
  • Good knowledge of data modelling tools
  • Ability to cope with fast changing technologies in the Business Intelligence domain
  • Experience with the European Institution corporate cloud and data architectures and infrastructureare considered a plus.
  • Experience in working in Agile/Sprint is considered a plus.
  • The AWS data engineer certificate is regarded as a plus for the performance of tasks
  • Ability to understand, speak and write English (C1/C2)

At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our Diversity, Equality & Inclusion Policy for more information.

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