Senior Data Architect - Databricks Platform
Tasks
- Build and maintain certified data products
- Build batch and streaming data pipelines
- Design governance guardrails and automation patterns
- Design workspace consolidation and persona permissioning
- Develop architecture documentation and roadmaps
- Ensure scalability and production readiness
- Expose lineage and metadata for self service
- Facilitate technical discussions with stakeholders
- Implement CI CD pipelines for data platform
- Implement configuration as code patterns
- Integrate Unity Catalog with metadata repositories
- Lead architectural design for Databricks data platforms
- Plan and mitigate migration cutover risks
- Use PySpark and Structured Streaming
Perks/Benefits
- 100% remote work
- Equipment stipend
- Exam and certification support
- Flexible PTO
- Professional development plan
- Workplace stipend
Skills/Tech-stack
AWS | AWS Glue | Apache Spark | Batch Processing | CI/CD | Cluster management | Configuration as Code | Cost Optimization | Data Governance | Databricks | Delta Lake | Disaster Recovery | Distributed Systems | FinOps | High Availability | Lineage | Metadata Management | Networking | OLAP | OLTP | PySpark | Real Time | Real-time Streaming | Schema evolution | Security | Spark Tuning | Structured Streaming | Terraform | Unity Catalog | “as-code”
Education
N/A
Roles
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