Data Cloud Platform Architect

• Utilize deep expertise in AWS data services while also engaging with Azure data services
• Lead in the implementation and enforcement of data governance and security standards across cloud platforms
• Manage Infrastructure as Code (IaC) solutions using tools like Terraform and CloudFormation
• Spearhead optimization projects to ensure minimal disruption and maximum efficiency
• Apply strong coding skills in Python and SQL to prototype solutions and establish coding standards
• Develop robust solution architectures focusing on scalability, performance, security, and cost optimization
• Design efficient data models and optimize query performance for handling large datasets
• Oversee ETL processes and manage data integration into systems like Redshift, DuckDB, and PostgreSQL
• Set up and manage AWS logging and tracing mechanisms using CloudTrail and X-Ray
• Implement orchestration solutions using Apache Airflow and AWS Step Functions
• Utilize Athena for interactive query analysis of large datasets stored in Amazon S3
• Provide technical leadership and act as a subject matter expert in cloud data engineering
• Regularly update solution and technical documentation and stay abreast of emerging technologies and industry trends
• Challenge business requirements and propose innovative solutions for efficiency and performance improvement

• Deep expertise in AWS data services like Lambda, Glue, Step Functions, and Redshift
• Exposure to Azure data services
• Extensive experience with Infrastructure as Code (IaC) using Terraform and CloudFormation
• Ability to define and enforce data governance and security standards
• Experience leading large-scale data migration and optimization projects
• Strong programming skills in Python and SQL, with a history of prototyping and setting coding standards
• Experience with Iceberg tables and managing large datasets efficiently
• Proficiency in designing scalable and efficient data solutions on AWS, following best practices for cloud architecture and infrastructure
• Experience with orchestration tools such as Apache Airflow and AWS Step Functions
• Knowledge of ETL tools and experience working with large volumes of data, preferably with Kafka
• Proactive in production monitoring and troubleshooting
• Excellent communication and teamwork skills, capable of providing technical leadership and mentorship
• Strong analytical and problem-solving skills, capable of analyzing requirements and proposing innovative solutions
• Experience in writing solution documents and technical documentation

Familiarity with Azure Databricks for data engineering and analytics tasks

• Supportive environment where everyone is valued
• Training opportunities
• Chance for growth in Switzerland and internationally
• Trust-based work culture based on transparency, professionalism, and commitment
• Encouragement of innovation
• Collective action striving to make a positive impact