Lead enterprise data architecture and modernization initiatives, shaping scalable and secure cloud data platforms, data lakes, and lakehouses. Partner with business and technology teams to design data models and integration practices, develop prototypes, evaluate technologies, and guide implementation of analytics and AI capabilities.
Responsibilities
- Drive architecture for scalable, secure enterprise data platforms.
- Design and implement modern data lake and lakehouse architectures with business, security, and engineering teams.
- Define data models, data flows, and integration patterns across data platform layers.
- Develop cloud-native proofs of concept, prototypes, and microservices for data solutions.
- Guide architecture delivery, implementation, and performance of strategic data products.
- Communicate architectural strategy and initiatives to senior and executive leaders.
Required Skills
- Enterprise data architecture
- Cloud data platforms
- Data lake and lakehouse architecture
- Data modeling
- Data integration patterns
- MPP implementation and performance tuning
- Cloud-native microservices
- Iaa
- SMetadata-driven frameworks
- Dev
- Ops