Data Solutions Architect

Hello, let’s meet!

Who We Are

While Xebia is a global tech company, in Poland, our roots came from two teams – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.

What We Do

We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data-driven solutions, and next-gen apps using ML, LLMs, and Generative AI. Our clients include Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, and Allegro or InPost.

We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!

Beyond Projects

What makes Xebia special? Our community. We run events like the Data&AI Warsaw Summit, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.

What sets us apart? 

Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.

We’re seeking a seasoned Data Solutions Architect to lead the modernization and strategic evolution of Data Platform for a major international client. This is a high-impact role that blends architectural leadership, team enablement, and cultural sensitivity. You’ll work closely with the Chief Data Architect, guiding four international Data Engineering teams through quarterly SAFe increments, while challenging the status quo and introducing forward-thinking practices.

This is not just a technical role - it’s a change agent position within a complex, multi-national organization. You’ll need to balance strategic vision with empathy, patience, and a sharp eye for cultural nuance.

You will be:

• responsible for Architectural Leadership: 

  • designing and evolve scalable, modern data platform solutions using Azure, Databricks, 

  • emerging technologies like Microsoft Fabric,

• managing Team Enablement: 

  • providing technical oversight, 

  • mentoring international Data Engineering teams (UAE, India, Poland),

• involved in Client Engagement: 

  • acting as a trusted advisor to the client, 

  • working closely with stakeholders ,

  • reporting directly to the Chief Data Architect,

• in charge of SAFe Delivery Support: 

  • guiding teams in delivering quarterly increments aligned with SAFe methodology,

• overseeing Innovation & Change: 

  • introducing new practices, 

  • challenging outdated architectural patterns, 

  • fostering a culture of continuous improvement,

• advocating for Cultural Sensitivity: 

  • navigating organizational inertia with tact, 

  • respecting diverse cultural contexts and communication styles,

• conducting Strategic Influence: 

  • facilitating architectural discussions, 

  • promoting modern data paradigms, 

  • helping shape long-term data strategy.

Your profile:

• proven experience as a Solutions Architect with a strong background in data engineering and platform modernization,

• deep understanding of cloud-native architectures, especially in Azure,

• experience working in large, multi-national organizations,

• comfortable leading distributed teams across multiple time zones and cultures,

• strong communication and stakeholder management skills,

• ability to challenge legacy systems and drive architectural transformation,

• familiarity with SAFe Agile delivery frameworks,

• fluent in English.

  Work from the European Union region and a work permit are required.

  Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies/

Recruitment Process:

CV review – HR call – Technical Interview  – Client Interview (with Live-coding) – Hiring Manager Interview - Decision