Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
You will be:
- defining and evolving the target enterprise data platform architecture built on modern cloud and data technologies,
- driving architectural decisions and ensuring alignment with business goals, security, governance, and scalability requirements,
- leading architecture reviews and establishing engineering standards, integration patterns, and best practices,
- designing data models, data products, and governance frameworks to support high-quality, trusted data,
- collaborating with business and technical stakeholders to translate requirements into scalable data solutions,
- supporting AI and GenAI readiness by shaping the platform for future AI-driven capabilities,
- mentoring Data Engineers and Platform Engineers through knowledge sharing, design sessions, and technical guidance,
- advising on platform evolution, performance optimisation, cost efficiency, and operational excellence.
Your profile:
- strong experience designing and governing enterprise-scale data platforms,
- hands-on architecture experience with GCP,
- deep expertise in BigQuery and modern cloud data warehousing,
- strong practical knowledge of dbt and modern data transformation practices,
- experience with data modeling, data products, and data platform architecture,
- experience designing data governance, data quality, and ownership frameworks,
- understanding of security, compliance, scalability, and platform reliability considerations,
- experience leading architectural decisions, technical reviews, and solution design sessions,
- familiarity with AI/ML and GenAI platform-enablement concepts,
- strong understanding of analytics ecosystems and self-service data platforms,
- excellent stakeholder management and communication skills,
- ability to translate business requirements into technical solutions,
- strong facilitation and workshop leadership experience,
- mentoring and coaching mindset,
- strategic thinking combined with pragmatic delivery focus,
- ability to work effectively in cross-functional and distributed teams,
- fluent English (at least B2 level).
Work from the European Union region and a valid work permit are required.
Nice to have:
- experience with large-scale cloud data migrations and modernization programs,
- experience implementing Data Mesh or domain-oriented data architectures,
- knowledge of BI/reporting frameworks and KPI governance,
- experience with platform cost optimization initiatives,
- familiarity with MLOps, AI platforms, or enterprise GenAI solutions,
- experience in highly regulated or global enterprise environments,
- experience working in consulting or advisory roles,
- experience building architecture communities of practice,
- previous exposure to change management and organizational enablement initiatives.
Recruitment Process:
CV review – HR call – Interview – Client Interview – Decision
