Jobs in the Netherlands, in English.

Data Platform Architect (Snowflake)

Hybrid in Utrecht·Full-time·Added 7 months ago (last checked 22 Oct)

adesso Netherlands

29 open roles

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Our summary

Work mode: Hybrid, Utrecht
Contract: Permanent, full-time hours
Languages: Dutch

Skills

Nice to have

This job advert was originally written in Dutch.

Requirements

What we're looking for

We are not looking for an architect who only makes pretty pictures. You understand how modern data platforms are actually built and can substantiate technical choices.

· You have:

· Extensive experience within Data Engineering, Data Architecture, or a comparable technical role;

· Experience designing modern cloud-native data platforms;

· In-depth knowledge of at least one of the following platforms: Snowflake, Azure Databricks, or Microsoft Fabric;

· Experience with modern Data Warehouse and Lakehouse architectures;

· Knowledge of data modeling, for example, Kimball and Data Vault;

· Experience with data integration, ETL/ELT, and orchestration;

· Knowledge of security, governance, performance, and scalability within modern data platforms;

· Experience with CI/CD, DevOps, and preferably Infrastructure as Code;

· The ability to translate complex technical issues into clear choices and solutions;

· Experience advising customers and stakeholders;

· An excellent command of the Dutch language.

Nice to have

Additionally, do you have experience with any of the following technologies or topics? If so, that is a great advantage:

· dbt;

· Dagster;

· Rflow;

· Azure Data Factory;

· Apache Spark / PySpark;

· Delta Lake;

· Collibra or other data governance solutions;

· Terraform or Bicep;

· AI/ML workloads on modern data platforms;

· Azure AI Foundry, Azure OpenAI, or other AI services.

Pay & benefits

What you'll get

With us, you get:

· Plenty of freedom and responsibility within client projects;

· The opportunity to actually bring architectural choices to implementation;

· Room to help build our Data & AI proposition;

· A team of Data Engineers, Data Scientists, and AI specialists to spar with on technical content;

· The scale and knowledge of an international organization, combined with a personal team in the Netherlands;

· A training budget of €3,600 per year;

· Hybrid working;

· A mobility scheme;

· A good pension scheme;

· 27 vacation days + 4 study days.

The role

Build the data architecture upon which organizations can take their next steps in data and AI.

Do you want to help organizations build future-proof data platforms with Snowflake, Azure Databricks, or Microsoft Fabric and work in an ambitious Data & AI team?

At adesso, we are looking for a Data Platform Architect who looks beyond just technology. Someone who understands how architecture, data, cloud, and AI converge and who helps customers make the right choices in that regard.

What you'll do

As a Data Platform Architect, you are responsible for designing scalable, secure, and future-proof data architectures.

You advise customers on the architecture, implementation, and use of intelligent data solutions within the Snowflake AI Data Cloud, Azure Databricks, or Microsoft Fabric.

In doing so, you look beyond the platform itself. You translate business and data challenges into a technical architecture and determine together with the customer which technology, tooling, and way of working best fits.

You are the connecting link between strategy and execution. You can set up an architecture, but you also understand what is required to actually implement it.

· Designing scalable, secure, and future-proof data architectures;

· Advising customers on the deployment of Snowflake, Azure Databricks, and Microsoft Fabric;

· Translating business, data, and AI challenges into concrete technical architectures;

· Designing modern Data Warehouse, Lakehouse, and Data Platform architectures;

· Advising on data modeling and architectural principles, including Kimball and Data Vault;

· Determining architectural principles regarding security, governance, performance, scalability, and cost;

· Advising on the technological roadmap of the data platform;

· Supporting the selection and integration of tools, such as dbt, Dagster, Rflow, and Azure Data Factory, and implementing these on the data platform;

· Thinking along about CI/CD, DataOps, and Infrastructure as Code;

· Guiding Data Engineers and other technical specialists in the implementation of the chosen architecture;

· Sparring with stakeholders at both technical and strategic levels;

Collaborating with Data Engineers, Data Scientists, AI Engineers, and other specialists within our Data & AI te

Data & AI at adesso

For us, a good data platform is not an end goal. It is the foundation upon which organizations can build analytics, machine learning, and increasingly often AI and agentic applications.

Within our Data & AI team, we bring Data Engineering, Data Science, and AI together. As an architect, this means you don't just look at what data is being used for today, but also at what must be possible tomorrow.

We do not want to deploy technology just because it is new. We want to design architectures that are scalable and manageable and that actually deliver value to our customers.

As a Data Platform Architect, you will get plenty of room to provide direction. Not only for client projects, but also for how we further develop our Data & AI proposition within adesso.

You will join a growing Data & AI team in which you have a lot of influence on our technical direction.

And now?

Can you look beyond a single platform and do you get energy from the question of which data architecture best fits this organization? Then we would love to get in touch with you.

As far as we are concerned, you don't need to write a cover le

We would rather hear in writing which data platform you have designed, which choices you made in it, and what you would do differently in hindsight..