Data Platform Architect @ Xebia sp. z o.o.

Who We Are

While Xebia is a global tech company, our journey in CEE started with two Polish companies – 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.

• proven experience with streaming data technologies like Kafka, Flink,
• familiarity with modern table formats such as Apache Iceberg,
• solid understanding of Data Governance concepts, including Data Contracts, Data Cataloging, Lineage, and Data Quality,
• familiarity with Data Mesh concepts and experience working in decentralized data environments,
• experience designing scalable, AWS cloud-native data architectures,
• familiarity with Infrastructure as Code tools (e.g., Terraform, CDK),
• strong communication skills and the ability to work cross-functionally with both technical and non-technical stakeholders.

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

Nice to have :

Who We Are

While Xebia is a global tech company, our journey in CEE started with two Polish companies – 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.

,[designing and delivering end-to-end solutions across real-time data streaming, data governance, and batch data processing,, architecting scalable, reliable, and future-proof data solutions that connect seamlessly across the organization,, working closely with engineering and product teams to build and evolve data capabilities on AWS, with strong integration to messaging architecture, schema management, and stream processing,, applying broad knowledge of the data ecosystem—covering ingestion, transformation, storage, and consumption layers—to guide technology choices and ensure cohesive platform design,, balancing strategic vision with practical implementation, bridging the gap between architecture and delivery,, promoting best practices in data governance, observability, and platform automation to ensure high standards of quality and maintainability.] Requirements : AWS, Kafka, Flink, Terraform, Apache Airflow, dbt, Data engineering Additionally : Training budget, Private healthcare, Multisport, Integration events, International projects, Mental health support, Referral program, Modern office, Canteen, Free snacks, Free beverages, Free tea and coffee, No dress code, Playroom, In-house trainings, In-house hack days, Normal atmosphere : ).