Lead Data Modeller
ref nr: 243/4/2025/KG/90674
In Antal we have been dealing with recruitment for over 20 years. Thanks to the fact that we operate in 10 specialised divisions, we have an excellent orientation in current industry trends. We precisely determine the specific nature of the job, classifying key skills and necessary qualifications. Our mission is not only to find a candidate whose competences fit the requirements of the given job advertisement, but first and foremost a position which meets the candidate’s expectations. Employment agency registration number: 496.
Lead Data Modeller
Position: Lead Data Modeller
Location: Kraków hybrid
Employment Type: Full-time | B2B
We are seeking a Lead Data Modeller to design enterprise-grade data models and lead a team of data modellers in shaping our data foundation. You'll collaborate closely with cross-functional teams to ensure consistency, scalability, and data quality across systems.
Key Responsibilities:
-
Design and develop conceptual, logical, and physical data models to support business operations and analytics.
-
Work with stakeholders to gather requirements and translate them into scalable, efficient data models.
-
Define and enforce data modeling standards, best practices, and governance policies.
-
Mentor and train the data modelling team in tools, techniques, and methodologies.
-
Collaborate with data architects, engineers, and analysts to align data models with broader data strategies.
-
Contribute to design and architecture discussions to ensure end-to-end data consistency.
-
Stay up to date on data technologies, trends, and tools; evaluate and recommend improvements.
Required Skills:
-
Expert-level experience in data modeling for both transactional and analytical systems.
-
Strong understanding of metadata, data analysis, and requirement gathering.
-
Ability to clearly communicate complex data modeling concepts to technical and non-technical audiences.
-
Leadership experience, including mentoring and guiding teams.
-
Strong stakeholder management and consulting skills.
-
Solid knowledge of data governance, data quality, and protection practices.
Nice to Have:
-
Experience with cloud data platforms (AWS, Azure, GCP).
-
Familiarity with Big Data ecosystems (Hadoop, Spark).
-
Knowledge of industry models (BIAN, FSDM, BDW) or experience in designing enterprise-wide data models.
