Principal Data Architect

Xebia; Poland; On-site; PLN 180,000 - 260,000; Full time

Job summary

Xebia in Poland seeks a solid Data Architect / Solution Architect with hands-on delivery background. You will engage clients from discovery to solution shaping, craft high-level architecture proposals, and shape reusable accelerators across engagements.

You bring cloud provider expertise (Azure, AWS, or GCP), experience with Databricks or Snowflake, lakehouse patterns, real-time pipelines, and a practical grasp of AI-enabled data platforms.

Qualifications

• Solid hands-on experience as a Data Architect or Solution Architect with delivery background.
• Strong cloud platform knowledge and modern data platforms (Databricks, Snowflake).
• Experience with lakehouse architecture and real-time data pipelines.
• Practical data platform migration and integration design experience.
• Familiarity with AI-enabled data pipelines and GenAI concepts.
• Ability to produce architecture proposals and high-level design artifacts.

Responsibilities

• You will work directly with new clients from discovery to solution shaping.
• Support presales with architect-level input for proposals.
• Turn business and technical expectations into high-level architecture.
• Shape reusable patterns and accelerators across engagements.
• Build prototypes while designing final products.
• Be the go-to person on the hardest problems for the project team.

Skills

Data architect

Solution architect

Cloud provider

Databricks

Snowflake

Lakehouse architecture

Batch processing

Real-time architecture

Data pipeline design

AI agents

GenAI concepts

MLOps

RAG

Architecture proposals

High-level design

Communication skills

Presentation skills

Tools

Azure

AWS

GCP

Databricks

Snowflake

Delta Lake

Iceberg

Job description

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:

• working directly with new clients from discovery through solution shaping: running workshops, exploring requirements, and presenting the proposed solution, technologies, and architecture,
• supporting the presales team with architect-level input for proposals,
• turning business and technical expectations into a high-level architecture proposal, including risks, dependencies, and constraints,
• thinking beyond the single project, shaping our offering and turning the things we build over and over for clients into reusable patterns and accelerators.
• building the prototype while designing the final product,
• being the person the project team turns to on the hardest problems.

Your profile:

• solid, current hands‑on experience as a Data Architect or Solution Architect, coming from a recent delivery and engineering role. We want someone who still builds, not a theorist,
• strong hands‑on knowledge of at least one major cloud provider (Azure, AWS, or GCP) and modern data platforms such as Databricks or Snowflake,
• practical experience with lakehouse architecture (Delta Lake or Iceberg, medallion layering) covering both batch and streaming workloads, including real‑time architectures,
• hands‑on experience with data platform migration and modernization, and with designing integrations between business systems and data platforms,
• practical grasp of agentic data engineering, meaning how to build and maintain data pipelines with AI coding agents like Claude Code or Codex,
• practical understanding of AI/ML and GenAI concepts and how they fit into modern data platform architectures (LLM‑based solutions, RAG, MLOps, AI‑ready data pipelines),
• experience producing architecture proposals, solution concepts, and high‑level design artifacts, and assessing technical risks and delivery assumptions,
• strong communication and presentation skills for both technical and non-technical audiences.

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

Nice to have:

• technical leadership experience: leading project teams and setting technical direction,
• experience with governance, security, and data quality,
• familiarity with enterprise‑scale data services beyond a single platform (the broader Azure, AWS, or GCP data ecosystem),
• hands‑on experience building AI‑powered solutions (GenAI applications, recommendation systems, intelligent automation),
• experience supporting RFP, bid, or proposal work,
• cloud or data platform certifications (Azure, AWS, GCP, Databricks, Snowflake, and similar).

Recruitment Process:

CV review – HR call – Technical Interview – Client Interview – Decision