Databricks & GCP Data Platform Architect
INR 1500K-2040K (estimate) Senior-level Full Time
Tasks
- Build CI CD pipelines for Databricks notebooks jobs and configs
- Build Delta Lake bronze silver gold data layers
- Build Spark jobs and Databricks notebooks
- Build batch pipelines using Spark and Databricks
- Build streaming pipelines using Spark and Databricks
- Conduct architecture and code reviews
- Configure access control with GCP IAM
- Design end to end Databricks Lakehouse architecture on GCP
- Enable audit logging lineage and data classification
- Implement Databricks workspaces clusters jobs workflows
- Implement Unity Catalog governance
- Implement infrastructure as code with Terraform
- Implement ingestion pipelines from PubSub and Kafka
- Implement ingestion pipelines from databases and enterprise applications
- Mentor data engineers with code level support
- Optimize Spark performance and Databricks costs
- Provide production support and root cause analysis
- Set up VPC and private endpoints
- Set up monitoring alerting and dashboards
- Translate business requirements into implemented solutions
- Troubleshoot pipeline failures and production issues
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Apache Spark | Audit Logging | BigQuery | CI/CD | Cloud IAM | Cloud Storage | Cloud platform | Data Governance | Data Lineage | Databricks | Delta Lake | Delta Live Tables | Delta Live) | Git | Google Cloud | Google Cloud IAM | Google Cloud Platform | Google Cloud Storage | Infrastructure as Code | Kafka | MLflow | Monitoring | Private Cloud | PubSub | Terraform | Unity Catalog | Vertex AI | Virtual Private Cloud | “as-code”
Education
N/A
Roles
Architect | Data Engineer | Data Platform | Data Platform Architect | Engineer | Platform Architect
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