Lead Data Modeller
nr ref: 243/4/2025/KG/90674
W Antal zajmujemy się rekrutacją od ponad 20 lat. Dzięki działaniu w 10 wyspecjalizowanych dywizjach, świetnie orientujemy się w aktualnych trendach branżowych. Precyzyjnie określamy specyfikę stanowiska, klasyfikując kluczowe umiejętności i niezbędne kwalifikacje. Naszą misją jest nie tylko znalezienie kandydata, którego kompetencje wpisują się w wymagania danego ogłoszenia, ale przede wszystkim stanowiska, spełniającego oczekiwania kandydata. Numer rejestru agencji zatrudnienia: 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:
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Design and develop conceptual, logical, and physical data models to support business operations and analytics.
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Work with stakeholders to gather requirements and translate them into scalable, efficient data models.
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Define and enforce data modeling standards, best practices, and governance policies.
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Mentor and train the data modelling team in tools, techniques, and methodologies.
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Collaborate with data architects, engineers, and analysts to align data models with broader data strategies.
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Contribute to design and architecture discussions to ensure end-to-end data consistency.
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Stay up to date on data technologies, trends, and tools; evaluate and recommend improvements.
Required Skills:
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Expert-level experience in data modeling for both transactional and analytical systems.
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Strong understanding of metadata, data analysis, and requirement gathering.
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Ability to clearly communicate complex data modeling concepts to technical and non-technical audiences.
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Leadership experience, including mentoring and guiding teams.
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Strong stakeholder management and consulting skills.
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Solid knowledge of data governance, data quality, and protection practices.
Nice to Have:
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Experience with cloud data platforms (AWS, Azure, GCP).
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Familiarity with Big Data ecosystems (Hadoop, Spark).
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Knowledge of industry models (BIAN, FSDM, BDW) or experience in designing enterprise-wide data models.
