Data Architect

InVisions; Finland; Remote; EUR 50,000 - 74,000; Full time

Benefits offered by this job

Full-time employment

Remote within Finland

Recurring training

Job summary

InVisions is seeking a Data Architect to shape data platforms for clients in Finland with a strong emphasis on practical, production‑grade architectures. You will interact with senior stakeholders, design scalable data models and pipelines, and guide implementation from concept to operation.

The role combines business conversation with architectural decisions and hands‑on work across Snowflake/dbt and Databricks, operating on Azure, AWS, or GCP in a fully remote Finland setup.

Qualifications

• 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.
• Hands-on experience designing and building complete Snowflake + dbt and/or Databricks solutions.

Responsibilities

• Translate customer aims into data and technical requirements.
• Help choose architecture and make it operational.
• Design end‑to‑end platforms with Snowflake/dbt or Databricks.
• Build resilient distributed data processing systems.
• Governance foundations around data platforms (MDM, catalogs, lineage).
• Deploy cloud resources or write SQL as needed.

Skills

Data modeling

Data warehousing

ETL/ELT pipelines

Cloud platforms

Tools

Snowflake

dbt

Databricks

Job description

Data Architect · Senior Data Architect · Lead Data Architect
Finland remote · Fluent Finnish and English required

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.

We’re 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 you’re happy where you are, here’s a reason to keep reading: this role brings business conversations, architectural decisions, and hands‑on implementation together. You’ll work with customers to turn their ambitions for data and AI into foundations they can actually build on.

Shape the direction. Stay close to the engineering.

Your work starts with understanding what a customer needs to achieve. You’ll 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.

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

Work alongside people who understand the depth of the problem.

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.

You’ll 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.

What you’ll bring

You can connect a business conversation to an engineering decision—and 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.

We’re 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

We’re hiring at Data Architect, Senior Data Architect, and Lead Data Architect levels, with the level matched to your experience.

Worth a conversation?

• €4,500–€6,600 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 don’t need to have decided to leave your current role to explore what comes next.

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