DATAWAREHOUSE ARCHITECT

Data warehousing architecture: develop and implement scalable, efficient architectures for data storage, retrieval, and analysis to meet business requirements

Integration oversight: manage the integration of the data warehouse with various internal and external data sources, business systems, and applications

Performance optimization: monitor and enhance the data warehouse's performance to handle large datasets and complex queries efficiently

Data security and compliance implementation: design and enforce security protocols to protect data, ensuring compliance with relevant data protection regulations like GDPR and CCPA

Leadership and guidance: provide technical leadership to cross-functional teams, offering guidance in the design, development, and deployment of data warehousing solutions

BSc or MSc in Computer Science, Data Science, Mathematics, Physics, or a related field

Data warehousing expertise: Proven experience in designing scalable, high-performance data warehousing solutions, including data modeling and ETL processes

Expertise in data integration: hands-on experience with integrating data from various sources such as databases, cloud platforms, and business applications

Performance optimization skills: strong skills in performance tuning, query optimization, and troubleshooting for large-scale data environments

Security and compliance: knowledge of data protection regulations and experience implementing security and compliance measures

Leadership and communication: ability to lead technical teams and collaborate with stakeholders

Technical expertise: proficiency in database technologies (e.g., SQL, NoSQL), data warehousing platforms (e.g., Snowflake, Databricks, Amazon Redshift, Google BigQuery), and ETL tools (e.g., Apache Kafka, Talend)

Proficient in English to collaborate effectively with teams and management based in Switzerland