O pozici
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.
Co budeš dělat
- facilitating workshops with new clients - explore requirements, propose a solution, technologies, architecture, implementation process,
- supporting the presales team with architect level input for the proposal,
- implementing the prototype while building the design of the final product,
- translating business and technical expectations into a high-level architecture proposal,
- identifying risks, dependencies, and architectural constraints for the proposed solution,
- bringing deep knowledge and advice to the project team on the hardest problems in the project.
Koho hledáme
- proven experience as a Data Architect / Solution Architect in cloud data platform projects,
- strong hands-on knowledge of Azure and Databricks,
- experience designing integrations between business systems and data platforms,
- ability to work directly with stakeholders during discovery / presales / solution shaping,
- experience producing architecture proposals, solution concepts, and high-level design artifacts,
- experience with data platform modernization and integration patterns,
- understanding of data ingestion, transformation, and orchestration in enterprise environments,
- ability to assess technical risks and define delivery assumptions,
- strong communication skills for working with both technical and non-technical stakeholders.
Benefity
- Work from the European Union region and a work permit are required.
- Nice to have:
experience in technical leadership, leading project teams, and setting technical direction,
experience with governance, security, and data quality topics,
familiarity with enterprise scale Azure data services beyond Databricks,
experience supporting RFP / bid / proposal work,
Databricks or Azure certifications.
