Senior Data Architect
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