Senior Data Architect

• Bachelor's/Master's degree in Computer Science, Engineering or similar
• 5+ years of experience in Data & Analytics
• Strong data architecture and engineering skills in Spark-based processing (Azure Data Factory, Azure Databricks, SQL, Python)
• Proficiency in data modeling, with ability to mentor data engineers in best practices
• Strong knowledge of Tableau or Power BI, and data management practices
• Experience with GitHub
• Experience delivering data as a product and leading data engineering teams
• Knowledge of commercial domain data
• Experience applying Agile methodologies
• Strong problem-solving, analytical and communication skills
• Fluent English, intercultural awareness

• Own and lead technical implementation of well-integrated, reusable data models and analytics products
• Collect and manage data requirements, translating them into technical concepts focused on reusability and cost efficiency
• Ensure best-practice data management and quality assurance processes are defined and applied
• Collaborate with data architects, analytics leads, and data scientists to ensure sustainable pipelines and analytical products
• Partner with business functions and IT teams to ensure delivery aligned with business priorities
• Lead integration of diverse data sources to develop globally harmonized data models and KPIs
• Steer delivery teams (internal and external), providing estimations and ensuring high-quality delivery

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