Data Architect

Daily tasks

• 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.

Must have: Stakeholder management, Data modelling, SQL, Data models

Nice to have: Databricks, Agile, DevOps, Product development