Data Architect (with German)

Core Tech Stack: AWS, Amazon EMR, S3, Glue, Athena, Redshift, Lake Formation, Kinesis, Hadoop, Apache Spark, Apache Airflow, ETL/ELT, Data Lakes, Data Governance, Data Modeling, CI/CD, Agile/Scrum, Jira, Confluence Required Qualifications: 5+ years of experience as a Data Architect / Data Platform Architect Strong experience designing enterprise-scale data platforms and data architectures Strong knowledge of AWS data services and cloud architecture Extensive experience with AWS Data Lake and Amazon EMR Strong background in Hadoop and Apache Spark Experience with Apache Airflow and workflow orchestration Strong understanding of ETL/ELT patterns and modern data pipelines Experience designing batch and/or streaming data architectures Extensive experience in Data Migration, Data Integration and system integration Strong knowledge of Data Governance, Data Quality, Metadata Management and Data Lineage Strong understanding of Data Security, IAM, encryption and access-control concepts Experience with data modelling and designing data flows across distributed systems Understanding of relational, NoSQL and analytical data storage concepts Experience designing solutions for scalability, high availability, performance and resilience Experience with CI/CD and infrastructure/data pipeline automation Ability to define architecture principles, standards, patterns and technical documentation Experience working in Agile/Scrum environments Practical experience with Jira, Confluence and Microsof