Solution Architect

TL;DR

→ You're the solution architect on our strategic data, AI and cloud engagements, from the cloud foundation to the AI layer.

→ Your core is data platforms and data engineering. Experience in cloud infrastructure or AI architecture is a big plus.

→ Consultant role at enterprise clients across the Nordics.

→ You help grow key accounts, develop the consultants around you and influence what Redeploy offers next.

What you'll do

You design the platforms large Nordic companies run their business on, and you treat them as whole systems: the cloud foundation, the data platform at the centre and the AI solutions they increasingly serve. Every engagement looks different. One client needs a target architecture, another a proof of value that settles a hard choice, a third a platform already in motion that needs direction. The work spans Databricks and Microsoft Fabric on Azure and AWS, and the solution follows the client.

Your role stays the same. You lead discovery with CDOs, CIOs and Heads of AI, set the architecture direction, write the proposal and design, and stay hands-on enough in code and IaC to know when a design only works on paper.

A few engagements our architects are leading right now:

• An enterprise data platform on Microsoft Fabric. We own the design authority: Azure landing zone, identity and access model, network isolation to source systems, and Fabric artefacts provisioned as code with Terraform.

• Real-time tracking of millions of items. We are building an operational repository for RFID events on Fabric Real-Time Intelligence that reconciles sources into one trusted state per item and feeds downstream systems.

• A federated data platform with data products. We are building the whole federated platform: shared governance and publishing, with domains that own and share their data. On top of it we build the first data products, each with a data contract, CI/CD and quality checks.

• An enterprise agent platform. We are building a portable platform on Kubernetes that makes deploying AI agents the easy path for every team. It includes a gateway for models, tools and agents, with guardrails, tracing and evaluation built in.

What you get

Breadth that's hard to find elsewhere. In a single year you might design a Fabric landing zone, a Databricks migration and an agent platform. You learn which patterns travel across data, cloud and AI.

See your decisions hold up. Many of the platforms you design stay with us after go-live. Our run team operates them, so you see how your architecture behaves in production.

Real influence, early. Much of our data and AI offering is still being built, and you help decide what we offer, who we hire and how we win.

Your direction, your call. Go deeper technically and become the person teams turn to with the hardest architecture questions. Or move towards client and practice leadership as we grow.

People who make you better. You work alongside dedicated teams for AI, data, analytics and cloud engineering, each with a lead who owns the craft.

The perks. 30 days vacation · hybrid work and flexible hours · private medical insurance · pension (ITP1) · wellness allowance of 5,000 SEK · free choice of tools and tech · free breakfast, soda and snacks · yearly gatherings and AWs · colleagues with real interests outside work: gaming, food, running, padel, golf, football, cycling

Who you are

You'd rather take an idea from workshop to production than write a slide about it. You think in systems, keep platforms as simple as the problem allows, and enjoy the client conversation as much as the technical problem. You like building teams and lead by doing the work alongside them. You communicate clearly and own the work from architecture to implementation.

What you bring

• Solid hands-on experience with lakehouse architecture on Databricks or Microsoft Fabric, on Azure or AWS

• A background in data engineering, with strong Python and Spark skills you still use

• Experience as a solution architect or lead consultant in client-facing work, including pre-sales workshops and proposals

• Fluent Swedish and English

• Active use of AI-assisted development tools such as Claude Code, Codex or similar

Strong plus:

• Cloud infrastructure: landing zones, networking, identity and access, Terraform and CI/CD, Kubernetes, FinOps

• AI architecture: RAG, agents, AI gateways, guardrails and evaluation, on Microsoft Foundry, Azure OpenAI, LangGraph or similar

About Redeploy

Redeploy is where cloud, data and AI come together in production. We help Nordic enterprises design, build and operate modern tech platforms and AI solutions that are secure, scalable and production-ready. We are engineers at heart, and we work hands-on across Azure, AWS and Databricks, from strategy to operations.