Data Architect (P4642)
Tasks
- Architect AI-ready data platforms
- Assess current state and plan migration roadmaps
- Define and govern semantic layer
- Design enterprise data architectures
- Develop reference architectures and reference implementations
- Ensure security and compliance
- Evaluate and adopt emerging technologies
- Guide architectural trade-offs
- Implement and evolve data governance frameworks
- Mentor data engineering and AI platform teams
- Participate in architecture review board engagements
- Partner with data science and engineering teams
Perks/Benefits
Skills/Tech-stack
AI system architecture | Access Control | Audit Logging | Azure | Azure Data | Azure Data Lake | Azure Data Lake Storage | Batch Processing | Cloud Cost Management | Cost Management | Data Governance | Data Lake Storage | Data Lineage | Data Modeling | Data integration | Data mesh | Data pipeline | Databricks | Databricks Workflows | Datadog | Dbt Semantic Layer | Delta Lake | Dimensional Modeling | Feature Store | MLOps | MLflow | Monitoring | Observability | Python | RBAC | Relational modeling | SQL | Semantic layer | Snowflake | Streaming processing | System Architecture
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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