Senior Data Architect / Data Engineer

Poland and Eastern Europe; Town of Poland (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Xebia is a global AI-first, digital transformation and engineering partner. We help organizations design and build scalable data-driven solutions and platforms across 16 countries.

The team focuses on AI, Data & Cloud, and modern analytics architectures, delivering high-impact data platforms and reporting solutions. This role requires EU-region work eligibility and strong mentorship abilities.

Qualifications

• 7+ years of experience in Data Engineering or Data Architecture.
• Hands-on expertise with Apache Druid, Kafka, and event-driven architectures.
• Deep knowledge of large-scale analytical data modeling and distributed systems.
• Strong SQL and MySQL experience; ability to analyze billions of events.
• Excellent communication and stakeholder management skills.
• Experience mentoring engineers and providing technical leadership.

Responsibilities

• Analyze and assess current multi-store reporting architecture.
• Design scalable, high-performance reporting solutions for large data volumes.
• Define data modeling strategies for analytics workloads.
• Design approaches for event enrichment using metadata from multiple sources.
• Create efficient solutions for unique counts and aggregations at scale.
• Provide architectural guidance for real-time analytics.
• Evaluate technologies and trade-offs across the data platform.
• Collaborate with engineering teams to implement the architecture.
• Support migration activities and ensure reporting consistency.
• Drive data quality, scalability, observability, and performance optimization.
• Provide mentorship to engineering team members.

Skills

SQL

Communication

Stakeholder management

Architectural assessment

Problem solving

Data modeling

Tools

Apache Druid

Kafka

Apache Flink

ClickHouse

Snowflake

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:

• analyzing and assessing the current multi-store reporting architecture,
• designing a scalable, high-performance reporting solution capable of handling very large data volumes,
• defining data modeling strategies for analytics and reporting workloads,
• designing approaches for event enrichment using metadata from multiple sources,
• creating efficient solutions for computing unique counts and analytical aggregations at scale,
• providing architectural guidance around real-time and near real-time analytics,
• evaluating and recommending technologies, patterns, and trade-offs across the data platform,
• collaborating with engineering teams to implement the proposed architecture,
• supporting migration activities and ensure reporting consistency throughout the transition,
• driving best practices related to data quality, scalability, observability, and performance optimization,
• providing technical guidance and mentorship to engineering team members.

Your profile:

• 7+ years of experience in Data Engineering, Data Architecture, or related roles,
• strong hands-on expertise with Apache Druid,
• strong experience with Kafka and event-driven architectures,
• excellent knowledge of large-scale analytical data modeling,
• strong expertise in SQL and MySQL,
• experience processing and analyzing billions of events,
• deep understanding of distributed data systems and performance optimization,
• ability to independently assess existing architectures and propose improvements,
• excellent communication skills and stakeholder management capabilities,
• experience with Apache Flink as well as streaming data pipelines and stream processing.
• fluent English (spoken and written).

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

Nice to have:

• knowledge of data enrichment and dimensional modeling techniques,
• experience implementing scalable unique-count solutions (e.g., HyperLogLog or similar approaches),
• exposure to cloud-based data platforms and modern analytics architectures,
• experience mentoring engineers and providing technical leadership,
• experience with ClickHouse,
• experience with modern lakehouse architectures, open table formats (e.g., Apache Iceberg), or data lakes,
• background in SaaS, martech, or customer engagement platforms.

Recruitment Process:

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