Key Responsibilities
- Design, develop, and maintain domain data models, translating business requirements into scalable, reusable, and well-structured data solutions.
- Provide technical direction and support to engineering teams, ensuring data solutions comply with established standards and business expectations.
- Oversee modifications to domain data assets, maintaining their integrity, consistency, and reliability.
- Take ownership of the domain data foundation, ensuring accurate data definitions, high data quality, and consistency across data products.
- Collaborate closely with business stakeholders, Product Managers, Analytical Product Managers, and delivery teams to identify priorities and coordinate data-related initiatives.
- Oversee data operations and service performance, identifying opportunities to improve efficiency and optimize processes.
- Promote and support the implementation of data governance standards, metadata management, data lineage, and data quality practices.
Requirements
- 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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