Senior Data Architect

Requirements

You will: Own and lead technical implementation of well-integrated, re-usable data models and analytics products Collect and manage data requirements, translating them into technical concepts focused on re-usability 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 You bring: 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 the 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

Must have: Azure