GCP Data Modeler

About the Position

Join Xebia as a GCP Data Modeler in Poland, designing analytical and enterprise data models for Data Quality monitoring in GCP.

Responsibilities

• Analyzing the existing Data Quality monitoring solution, including its data structures, relationships, dependencies, and integration points.
• Designing target-state analytical and enterprise data models supporting Data Quality monitoring in GCP.
• Defining data structures, modeling patterns, and development standards within dbt Core.
• Contributing to the design of the target cloud-native monitoring architecture.
• Establishing consistent data modeling standards, naming conventions, and reusable patterns.
• Defining integration principles between the Data Quality solution and other Data Platform components.
• Mapping legacy data structures and processes to the target architecture.
• Identifying modeling gaps, dependencies, and risks affecting the migration.
• Collaborating with Business Analysts to ensure that the target models reflect business and Data Quality requirements.
• Working closely with Data Engineers during implementation and supporting them in translating the models into scalable data solutions.
• Collaborating with Test Engineers during model validation, reconciliation, and testing.
• Reviewing implemented data structures to ensure their alignment with the agreed models and standards.
• Contributing to technical, architectural, and maintenance documentation.
• Creating and maintaining data model documentation, mapping specifications, data dictionaries, and modeling guidelines.
• Communicating design decisions and technical concepts clearly to both technical and non-technical stakeholders.

Requirements

• Extensive senior-level experience in Data Modeling.
• Proven experience designing analytical or enterprise data models.
• Hands-on experience working with Google Cloud Platform.
• Practical experience with dbt Core, including defining model structures, dependencies, and development standards.
• Strong knowledge of SQL-based data environments.
• Experience working with cloud-based data platforms and modern data architectures.
• Good understanding of Data Quality concepts, controls, and monitoring solutions.
• Ability to analyze an existing data architecture and design a clear, scalable target-state model.
• Experience supporting data migration or transformation initiatives.
• Experience collaborating closely with Data Engineering teams.
• Ability to define and document data modeling standards, naming conventions, and integration principles.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder collaboration skills.
• Ability to create clear technical and maintenance documentation.
• Ability to work independently and take ownership of data modeling decisions.
• Fluent English.
• Practical experience using AI-powered assistants, such as ChatGPT, Claude, or Copilot, to improve productivity and quality in analytical and documentation work.

Nice to Have

• Experience working in financial services or banking environments.
• Knowledge of Data Platform integration patterns.
• Experience supporting migrations from legacy data solutions to cloud-native platforms.
• Experience designing data models for Data Quality, observability, or monitoring solutions.
• Familiarity with data reconciliation and validation processes.
• Experience working in complex enterprise data environments.

We Offer

• Opportunity to work with a global AI-first, digital transformation, and engineering partner.
• Collaborate with a team of nearly 1,000 experts in the CEE region.
• Work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake.
• Combine deep technical expertise with a strong focus on engineering excellence and a people-first culture.
• Continuous focus on growth and knowledge sharing.

About the Company

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.