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As a partner of our company's Enabling Functions (EF), we the Enabling Functions Data and AI Organization explore, design, and deliver data, analytics, and AI solutions. With that, we are digitizing the company from the core by supporting the digital transformation for 15+ diverse Enabling Functions, including Finance, HR, Procurement, Legal, and more. In this position, you will lead the design of cloud-native data & analytics solutions utilizing Snowflake, Palantir Foundry, and AWS, while guiding lighthouse implementations. A key focus will be on our strategic finance transformation Program, ‘Lumina’, where you will define the target architectural vision and govern the future implementation of the Finance Data Warehouse on Snowflake and it’s integration into our Analytics Ecosystem.
Job Responsibility:
Lead the design of cloud-native data & analytics solutions utilizing Snowflake, Palantir Foundry, and AWS
Guide lighthouse implementations
Define the target architectural vision and govern the future implementation of the Finance Data Warehouse on Snowflake and it’s integration into our Analytics Ecosystem
Collaborate with various teams to ensure that product architectures are scalable, secure, and aligned with the overall technology strategy
Establish best practices and standards that guide product development and ensure consistent quality across the EF Data, Analytics and AI portfolio
Guide and consult development teams and stakeholders in selecting and implementing suitable technology solutions
Monitor the architecture-related metrics and KPIs to ensure a continuous improvement
Engage actively in both internal and external people networks for sharing knowledge, mentoring colleagues, and building capabilities across the organization
Conduct technology scouting, support vendor RFPs, and host knowledge sharing sessions
Represent the team and the company at various internal and external events
Support our Group Data Strategy, focusing on data democratization, governance, and fostering a data driven and product centric culture that empowers self-service analytics
Requirements:
University degree preferably in Information Technology, Computer Science, Finance, Business Administration, or a related field
5+ years experience in data engineering, application design, analytics, and visualization within a global organization
Experience with Finance core business processes
Strong technical skills in systems architecture, cloud computing, cybersecurity, and data management
Proven technical leadership experience in agile software development, including leading and mentoring engineering teams
Highly engaged expert with in-depth knowledge in Snowflake and ideally in AWS, Palantir Foundry, or SAP Business Data Warehouse / Cloud
Proficiency in ETL processes, Spark, Kafka, and Python for distributed computation (preferably PySpark)
Familiarity with SQL, R, REST APIs and basic design/visual competencies
Ability to work both individually and collaboratively in global matrixed product teams
Ability in establishing software engineering best practices including DevOps methodologies
Up-to-date with digital trends and emerging technologies
Strong ability to facilitate discussions and build consensus by simplify complex topics and creating clear, impactful messages and storylines for both, experts and non-experts
Excellent communication and presentation skills in English
Nice to have:
Knowledge in Data Science is a plus
knowledge of German is a plus
What we offer:
Financial & Protection benefits
Health and Wellbeing benefits (e.g., health checkups or medical insurance)
Family benefits (e.g., Fertility Benefit)
Time Away benefits
Life-style benefits (e.g., flexible working, gyms, car benefits, shopping discounts)
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