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Google Cloud Data Architect

Location: Belgium or The Netherlands

As a Google Cloud data architect you'll be responsible for designing and implementing robust data architectures on the Google Cloud platform. You'll work closely with decision makers to establish the added value their cloud strategy will provide.

You’re a key advisor in the entire process from requirement definition to designing the cloud architecture.

The impact you'll make

You’re a key advisor in the entire process from requirement definition to designing the cloud architecture.

Your work will enable more effective decision-making and operational efficiency by ensuring data is accurate, accessible, and actionable.

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Your skills

  • Experience in designing and implementing data architectures on Google Cloud Platform
  • Strong understanding of GCP data services, including BigQuery, Cloud Dataflow, Cloud Dataproc, and Cloud Pub/Sub
  • Proficient in data modeling, ETL processes, and data warehousing
  • Strong SQL knowledge and proficient in data modeling and data warehousing
  • Experience with data security and compliance best practices
  • Ability to collaborate with stakeholders to understand business needs and translate them into technical solutions
  • Knowledge of scripting languages such as Python, Spark, or Scala
  • Familiarity with other cloud platforms is a plus

What's in it for you?

  • Opportunity to work on groundbreaking Google Cloud data projects
  • Stay updated with the latest developments and trends in GCP
  • Engage in continuous (peer)learning 
  • Participate on a tactical level within our company
  • Enjoy an open and informal company culture
  • Collaborate with awesome colleagues

Meet your future colleague Casper

For my current project, I work on the Google Cloud Platform. Here I connect data from different data sources like Salesforce, MariaDB, etc. to bundle them in a modernized data warehouse. I build custom Spark ETL pipelines with DataFusion. With the Data Loss Prevention API, I encrypt sensitive data with keys to ensure security and privacy. To orchestrate these data pipelines, I use Cloud Composer (Apache Airflow). Event-triggered functionality is handled by serverless Cloud Functions and object storage in Cloud Storage. I also make technical dashboards that monitor the components and their costs in Data Studio. In the end, the data is stored in a Kimball data warehouse model in BigQuery where the data is consumed by MicroStrategy reports.

In my downtime I like to go to the movies and go cycling to train for the company’s yearly bike event. We are going to Italy for the Duchennes Heroes event, 3 days of cycling with my colleagues while supporting a good cause.

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Why Agiliz

We’re a team of about 50 people, all interested in data and analytics. Fun, informal and open communication define us. We’re like a small village where everyone knows everyone and we’re always willing to lend a hand to our neighbour.

We don’t limit ourselves to one technology or one business sector, the variety in projects and technology stack in addition to our knowledge sharing culture is one of the reasons why applicants choose for us.

Although we believe that our love for team events, food and good vibes might have something to do with it as well.

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Meet your future colleague Tim

On a daily basis I work closely with technical and business stakeholders in order to capture all requirements for designing a scalable architecture. By doing so we establish a cloud strategy and cloud architecture that is the perfect fit for the client's needs now and in the future.

I also design structured best practices for cloud utilisation at the client and internally at Agiliz. Collaboration, communication and problem solving are as important as my technical expertise on cloud architecture, AI/ML, data engineering and data platforms.

After hours I'm also fond of innovation and follow closely all space-related updates, seeing a live rocket-launch is definitely on my bucket list!

Tim
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