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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and evolving enterprise data architectures and cloud-based data platforms, with a strong focus on AWS services, data governance, and scalable data processing solutions. Proficient in translating business requirements into technical architecture and implementation roadmaps while ensuring data quality, security, and compliance.
Highest-signal resume keywords
AWS Data ServicesData Lake ArchitectureHadoop and Apache SparkData Governance and QualityCI/CD Automation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Data Architecture DesignData MigrationETL/ELT PatternsData ModellingBatch and Streaming Data ArchitecturesData IntegrationData Security ConceptsInfrastructure AutomationReal-Time Data ProcessingData Flow Design
Soft Skills
CollaborationTechnical GuidanceAgile/Scrum ParticipationCommunication
Tools & Technologies
Apache AirflowAmazon EMRJiraConfluenceMicrosoft Teams
Certifications & Qualifications
AWS Data Analytics CertificationITIL Foundation Certification
Industry Keywords
Data GovernanceData QualityMetadata ManagementData LineageLakehouse ArchitectureData MeshData FabricEvent-Driven ArchitecturesInternational Enterprise EnvironmentsArchitecture Governance
Tech Stack
Tools & technologiesAirflowApacheAWSCloudDistributed SystemsETLHadoopNoSQLSpark
About the role
Key responsibilities & impact- 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
What you’ll need- 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