Lead Databricks Architect
Tasks
- Architect data pipelines
- Configure access controls and governance
- Define data modeling standards
- Define semantic layers and metadata
- Define target state architectures
- Design ELT and streaming patterns
- Design cloud-native data platforms
- Design reusable data contracts
- Ensure data governance and data quality
- Ensure regulatory compliance
- Establish architectural standards
- Implement CI/CD practices
- Lead enterprise data architecture
- Manage clusters and job orchestration
- Monitor performance and troubleshoot issues
- Optimize Databricks costs
- Own and administer Databricks workspaces
- Support feature stores and experimentation environments
- Support machine learning and generative AI use cases
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | CI/CD | Cluster management | Cost Optimization | DBT | Data Contracts | Data Governance | Data Lineage | Data Modeling | Data Quality | Databricks | Dimensional Modeling | ELT | Feature Store | Generative AI | IAM | Job Scheduling | Machine Learning | Metadata Management | Natural Language | Natural Language Analytics | RBAC | Semantic Modeling | Semantic layer | Streaming | Unity Catalog
Education
N/A
Roles
Architect | Data Architect | Databricks Architect | Lead | Lead Databricks Architect
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