Databricks Solution Architect (Data Engineering, AI & MLOps)
Singapore, Singapore, Singapore
SGD 162K-221K (estimate) Senior-level Full Time
Tasks
- Build MLOps pipelines with MLflow
- Build batch streaming data pipelines
- Configure Databricks workspaces and SQL warehouses
- Deploy machine learning models
- Design lakehouse data platform
- Develop AI and generative AI solutions with RAG
- Develop Delta Lake architecture
- Implement data governance with Unity Catalog
- Implement infrastructure as code with Terraform
- Implement monitoring and observability
- Integrate enterprise AI services
- Mentor engineering teams
- Optimize ETL ELT and streaming workloads
- Perform architecture reviews
- Set up Git based CI CD pipelines
Perks/Benefits
Skills/Tech-stack
Amazon Web Services | Apache Spark | Azure DevOps | CI/CD | Cloud platform | CloudWatch | Data Processing | Databricks | Delta Lake | Delta Live Tables | Delta Live) | ELT | ETL | Git | GitHub Actions | Google Cloud | Google Cloud Platform | Infrastructure as Code | Jenkins | ML model registry | MLflow | Microsoft Azure | Model Registry | Monitoring | Observability | Prometheus | Python | SQL Warehouses | Scala | Spark SQL | Splunk | Streaming Data | Streaming data processing | Terraform | Unity Catalog | Web Services | “as-code”
Education
N/A
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