AI & Data Platform Architect
THB 4000K-5000K (estimate) Senior-level Full Time
Tasks
- Architect ingestion transformation orchestration and consumption pipelines
- Define Databricks cluster architecture and notebook standards
- Define end to end lakehouse and warehouse architectures
- Define security and governance including RBAC ABAC and encryption
- Design Snowflake warehouse strategies and data modeling
- Design medallion architecture standards
- Drive CI CD release management for Databricks and Snowflake
- Establish reference architectures and engineering guardrails
- Lead enterprise data platform architecture
- Mentor technical leads and senior engineers
- Optimize performance, scalability, reliability, and cost
- Review solution designs and deployment approaches
- Support production incident root cause analysis and platform optimization
Perks/Benefits
- N/A
Skills/Tech-stack
ABAC | Apache Spark | Azure Cloud | Azure Cloud Security | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | CI/CD | Cloud Security | Column-Level Security | Data Catalog | Data Factory | Data Governance | Data Lake Storage | Data Lake Storage Gen2 | Data Observability | Data Quality | Data Sharing | Data Vault | Data masking | Delta Lake | Delta Lake Schema | Delta Lake schema evolution | Delta Tables | Dimensional Modeling | ELT | ETL | Encryption | Event Hubs | Git | Infrastructure as Code | Kafka | Lineage | Metadata Management | Orchestration | Private Endpoints | PySpark | RBAC | Row Level Security | SQL | SQL Optimization | Schema evolution | Secrets management | Secure Data | Secure Data Sharing | Semantic Modeling | Snowflake | Snowpark | Snowpipe | Spark SQL | Streams | Structured Streaming | Tasks | Time Travel | Unity Catalog | Virtual Warehouses | “as-code”
Education
N/A
Regions
States
Cities
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