Data Architect

You know what makes a data platform succeed. The architecture matters. So does understanding the business making sound trade-offs and getting the solution into production.

Were looking for Data Architects who want to influence customer decisions solve demanding engineering problems and stay close enough to delivery to see their designs work.

If youre happy where you are heres a reason to keep reading: this role brings business conversations architectural decisions and hands-on implementation together. Youll work with customers to turn their ambitions for data and AI into foundations they can actually build on.

Your work starts with understanding what a customer needs to achieve. Youll translate that into data and technical requirements help choose an appropriate architecture and contribute to making it operational.

Depending on the assignment you could be:

• Helping senior stakeholders turn a broad data or AI ambition into a practical technical direction.

• Designing an end-to-end platform with Snowflake and dbt or Databricks.

• Building resilient distributed systems for ingesting and processing large datasets.

• Designing data models warehouses and high-volume ETL/ELT pipelines.

• Evaluating the governance foundations around a platform from MDM and catalogs to data lineage.

• Deploying cloud resources or writing SQL when the work calls for it.

Youll work across Azure AWS or GCP bringing both architectural judgment and an understanding of what it takes to build and operate the solution.

Our client is a consultancy bringing together senior data engineers architects data scientists and AI and ML engineers.

They help organizations become AI-ready through strong data foundations consulting and advisory work and enterprise-grade generative AI systems with measurable business outcomes.

That gives your architecture work a clear purpose: helping customers use data and AI in ways that hold up in practice and over time.

Youll join an open collaborative environment where learning happens through shared work recurring training knowledge sharing and regular hackathons. Support toward cloud certification gives you another way to deepen your expertise.

You can connect a business conversation to an engineering decisionand explain that decision clearly to both senior stakeholders and the people building the platform.

Your experience includes:

• Designing building and operating highly available systems that process data at scale.

• Data modeling warehousing and high-volume ETL/ELT pipelines.

• Working with at least one major cloud platform: Azure AWS or GCP.

• Understanding data lakes analytics tools and supporting technologies such as MDM data catalogs and lineage.

• Applying Agile DevOps and DataOps practices to delivery.

Were especially interested in hands-on experience designing and building complete solutions with Snowflake dbt and/or Databricks.

Fluent written and spoken Finnish and English are essential as a significant part of our customer work takes place in Finnish.

Were hiring at Data Architect Senior Data Architect and Lead Data Architect levels with the level matched to your experience.

• gross per month.

• Full-time employment fully remote within Finland.

• An open collaborative environment with close customer cooperation.

• Recurring training learning sessions and opportunities to share expertise.

• Social events and opportunities to connect with colleagues.

You dont need to have decided to leave your current role to explore what comes next.

If the work above sounds like the kind of architecture you want to do more of get in touch. Lets talk about the problems you enjoy solving and where you want your expertise to take you. Send us your CV/LinkedIn profile and we will be happy to contact you within 24 hours. During our screening and recruitment process we use only human power not AI tools.

We treat your personal information with respect and confidentiality guaranteed and protected by the professional ethics and the European law.