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Job Description

• We are seeking a highly skilled Data Architect to lead the design, implementation, and delivery of cloud-native data analytics solutions running on Palantir Foundry and AWS.

• You will work as part of the Enabling Functions Data Office team that provides digital leadership for analytics AI initiatives across our business functions such as HR, Finance, Procurement, Legal and many others

• Your role will involve driving our Group Data Strategy by enabling data democratization, digitization and data governance
• You will collaborate with various stakeholders to automate data feeds and processes, design data models and ensure authorized access for an enhanced user experience
• Furthermore, you will actively participate in a people network across the company in order to learn, share and mentor colleagues to build respective knowledge and capabilities across the group

• Masters degree preferably in Information Technology, Computer Science, Finance, Business Administration or related fields
• 5+ years in engineering with experience in data integration, modelling, analytics, and visualization
• Experience with HR and/or Finance data integration, solution build, and core business processes
• Experience with cloud frameworks like AWS, Palantir Foundry, and Snowflake
• Proficiency in ETL, Spark, Kafka, and Python for distributed computation (preferably PySpark)
• Knowledge of cloud infrastructure/tools related to Data Engineering and Application Development
• Familiarity with SQL, R, REST APIs and basic design/visual competency
• Ability to work both individually and collaboratively in global matrixed product teams
• Technical leadership experience in agile software development, leading and tutoring engineering teams.
• Ability to establish software engineering best practices incl. DevOps, working cross-functionally, enabling more junior team members and other stakeholders to do the same
• Strong knowledge of software engineering best practices, including DevOps, version control, CI/CD
• Additional experience in Informatica, SAP Business Warehouse, Data Science, or AI is a plus.
• Understanding of data privacy and security with the ability to develop practices alongside IT Security and Data Privacy
• Fluent in English with strong written and verbal communication skills; knowledge of German is a plus

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