Data Architect, German
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Job Description
Data Architect designing secure, scalable AWS data platforms for Spyrosoft, a software engineering company. Driving governance, migration, integration, and architecture guidance across enterprise environments.
Responsibilities:
- 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, Spark, Airflow and AWS-based solutions
- Drive automation and support CI/CD practices for data platforms and pipelines
- Ensure solutions meet scalability, performance, reliability, security and maintainability requirements
- 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
Requirements:
- 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
- AWS Data Analytics certification
- ITIL Foundation certification
- At least four relevant project references within the last 8 years for each major capability area
- Very good command of English
- German language skills are advantageous; candidates without German are welcome if they have a strong technical fit
- Experienced in using AI tools in day-to-day workflow is nice to have
- Knowledge of modern Lakehouse architectures is nice to have
- Experience with event-driven and real-time data architectures is nice to have
- Familiarity with Data Mesh and Data Fabric concepts is nice to have
- Experience in large-scale international or regulated enterprise environments is nice to have
- Knowledge of enterprise architecture frameworks and architecture governance processes is nice to have
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