Data Architect (with German)

Spyrosoft is a software engineering company founded in 2016, specialized in technology solutions across industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education, and financial services industries. The company was recognized among the fastest growing technology companies in Europe in 2021 and 2022.

• 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 Microsoft Teams
• Strong stakeholder-management and communication skills
• Ability to work effectively with both technical teams and business stakeholders
• AWS Data Analytics certification
• ITIL Foundation certification
• Very good command of English
• German language skills (ideally C1/C2 or native level) preferred but not mandatory

Nice to have:

• Experience using AI tools in day-to-day workflow
• Experience with additional AWS data services such as S3, Glue, Athena, Redshift, Lake Formation, or Kinesis
• Knowledge of modern Lakehouse architectures
• Experience with event-driven and real-time data architectures
• Familiarity with Data Mesh and Data Fabric concepts
• Experience working in large-scale international or regulated enterprise environments
• Knowledge of enterprise architecture frameworks and architecture governance processes

• Design and evolve enterprise data architecture and cloud-based data platforms
• Define architecture for Data Lakes, data processing, and analytics solutions on AWS
• Design scalable data ingestion, transformation, integration, and processing pipelines
• Define architectural standards, patterns, and best practices for data platforms
• Design and oversee data migration and system integration strategies
• Ensure appropriate Data Governance, Data Quality, Data Security, and access-control standards
• Define data models, data flows, interfaces, and integration patterns across complex environments
• Support architectural decisions regarding batch and real-time data processing
• Work with engineering teams on Hadoop, Apache Spark, Apache Airflow, and AWS-based solutions
• Drive automation and support CI/CD practices for data platforms and pipelines
• Ensure solutions meet requirements related to scalability, performance, reliability, security, and maintainability
• Collaborate with Data Engineers, Cloud Architects, Security teams, Product Owners, and business stakeholders
• Translate business and technical requirements into target architecture and implementation roadmaps
• Conduct architecture reviews and provide technical guidance to delivery teams
• Create and maintain architecture documentation, data flows, standards, and technical specifications
• Support Agile/Scrum delivery and participate in technical workshops with stakeholders