Data Architect

Tasks

• Advocate data mesh data fabric and event driven architectures
• Assess emerging trends in data and AI
• Design and optimize data integration flows
• Design data platforms and pipelines
• Design enterprise data architecture
• Design semantic layer
• Develop data strategy
• Drive innovation initiatives
• Enforce data modeling standards
• Ensure cloud-native architecture
• Implement master data management
• Integrate structured unstructured and real time data sources
• Lead stakeholder alignment between business and technology
• Manage metadata
• Oversee data security, privacy, and compliance
• Partner with data engineers and analysts

Perks/Benefits

• Career development
• Collaboration and inclusiveness resources and programmes

Skills/Tech-stack

API Development | AWS | Apache Spark | Artificial Intelligence | Cloud Native | Data Architecture | Data Governance | Data Management | Data Modeling | Data Privacy | Data Security | Data fabric | Data integration | Data mesh | Databricks | Dataiku | ETL | Event Driven | Event-driven architecture | Kafka | MDM | Machine Learning | Master Data | Master Data Management | Metadata Management | Microsoft Azure | Microsoft Fabric | NoSQL | Real Time | Real-time analytics | SQL | Semantic layer | Snowflake