Enterprise Architect – Data & Analytics (CoE)

Tasks

• Architect SAP integrations
• Create trusted data foundations for AI analytics
• Define AWS cloud data solutions architecture
• Define Databricks lakehouse architecture
• Define enterprise data architecture
• Design analytics and AI enablement architecture
• Design scalable data integration patterns
• Develop analytics engineering framework using dbt
• Drive Master Data Management Strategy
• Ensure data quality metadata lineage and access management
• Establish enterprise data platform architecture
• Govern data integration standards
• Implement data governance and security standards
• Mentor architects and engineering teams
• Present architecture recommendations and trade offs to senior leaders
• Provide architectural guidance and design assurance

Perks/Benefits

• Career development
• Diversity and inclusion
• International career opportunities
• Work-life balance

Skills/Tech-stack

AWS | Access Management | Batch Processing | Cloud Architecture | DBT | Data Architecture | Data Catalog | Data Governance | Data Ingestion | Data Lineage | Data Management | Data Modeling | Data Quality | Data integration | Databricks | Delta Lake | Domain-Driven Design | Enterprise Architecture | Event Driven | Event-driven architecture | HANA Cloud | Integration Architecture | Master Data | Master Data Management | Metadata Management | Observability | Reference Data | SAP | SAP HANA | SAP HANA Cloud | Security and access | Security and access management | Spark | Streaming Data