CLOUD AMAZE - DW Architect (Practice)
Tasks
- Collaborate with enterprise architects security and data management teams
- Define solution scope and sizing
- Design diagrams playbooks and technical documents
- Design unified lakehouse architectures
- Develop governed cost efficient Databricks solutions
- Lead data solution architecture blueprints
- Mentor junior team members
- Support data engineering analytics ML and agentic AI workloads
- Translate business requirements into technology solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EMR | AWS Glue | AWS S3 | Agent Framework | Airbyte | Apache Airflow | Apache Hudi | Apache Iceberg | Apache Spark | Asset bundles | Audit Logging | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Event | Azure Event Hubs | BigQuery | CI/CD | Cloud Storage | Column Masking | DBT | Data Factory | Data Lake Storage Gen2 | Data Vault | Data Vault 2.0 | Databricks | Databricks (asset) | Databricks Agent Framework | Databricks Asset Bundles | Databricks CLI | Databricks SQL | Delta Lake | Delta Live Tables | Delta Live) | Dimensional Modeling | Event Hubs | Feature Store | Fivetran | GitHub Actions | Google Cloud | Google Cloud Storage | Google Dataflow | Kafka | Kimball Dimensional | Kimball dimensional modeling | Langchain | MLflow | MLflow Model Registry | MLflow Model Serving | MLflow Tracking | Model Registry | Model Serving | Prefect | Private Link | PySpark | RAG | RBAC | Row Level Security | Scala | Structured Streaming | Terraform | Unity Catalog | Vector Search
Education
N/A
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