Enterprise Architect, Principal - Data Platform & Analytics
Tasks
- Architect AI ML data readiness patterns
- Architect end-to-end data pipelines
- Coach and mentor engineers and architects
- Coordinate modernization and platform consolidation roadmaps
- Define target data platform architecture
- Design analytics and data consumption architecture
- Enable delivery teams with reusable patterns and references
- Evolve architecture standards and roadmaps
- Govern data platform and lakehouse architecture
- Implement data product patterns
- Lead architecture reviews and working sessions
- Manage architecture deviations and trade offs
- Partner with business and IT leaders on architecture alignment
- Rationalize technology and reduce redundancy
- Set data governance security and cost optimization patterns
- Support vendor evaluations and RFP activities
- Track metrics and feedback loops for architecture adherence
Perks/Benefits
- N/A
Skills/Tech-stack
AI Data | AI data readiness | Access Control | Architecture governance | Automated testing | BI | Batch Processing | CI/CD | Cloud Architecture | Code Quality | Cost Optimization | Data Governance | Data Ingestion | Data Lineage | Data Quality | Data Security | Data Transformation | Data orchestration | Data pipeline | Data readiness | Enterprise Architecture | Feature Store | Lakehouse | Machine Learning | Metadata Management | Model Data | Model Data Pipeline | Orchestration | Performance Engineering | Performance Tuning | RFP | Scalability | Semantic layer | Streaming Data | TOGAF | Training Dataset | Vendor Evaluation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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