Data Architect
- Excellent communication, stakeholder management, and decision-making skills.
- Solid experience in data modelling, particularly conceptual and logical data modelling.
- Strong SQL knowledge and hands-on experience with modern data platforms, preferably Databricks.
- Ability to understand business needs and transform them into technical specifications and scalable data models.
- Good understanding of lakehouse architecture, data integration, and analytical data environments.
- Experience working with cross-functional teams, including business stakeholders, Product Managers, Data Engineers, and Technical Leads.
Nice to Have
- Practical experience with Databricks, Delta Lake, and cloud-based data platforms.
- Knowledge of data governance, data quality management, metadata, and data lineage.
- Familiarity with Agile methodologies and DevOps practices.
- Understanding of analytics, reporting solutions, and data product development.
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