Data Platform Architect
Tasks
- Architect lakehouse warehouse and streaming patterns
- Conduct architecture reviews across teams
- Create architecture artifacts and decision records
- Define data security architecture
- Define target state enterprise data platform architecture
- Design disaster recovery multi region and high availability
- Design end-to-end data pipelines
- Drive cost optimization and capacity planning
- Establish data contract and data product principles
- Establish data modeling and schema standards
- Lead governance lineage and catalog integration
- Mentor data engineers and architects
- Partner with ML BI and product teams for consumption needs
- Stay current with data platform research and ecosystems
Perks/Benefits
Skills/Tech-stack
Access Management | Amazon Redshift | Amazon Web Services | Apache Flink | Apache Hudi | Apache Iceberg | Apache Kafka | Apache Spark | Batch Processing | BigQuery | Capacity Planning | Cloud platform | Column-Level Security | Cost Optimization | Data Catalog | Data Governance | Data Ingestion | Data Lineage | Data Modeling | Data Pipelines | Data Processing | Data Product architecture | Data Storage | Data Vault | Data Vault Modeling | Data Warehouse | Data masking | Data mesh | Data platform | Data platform architecture | Data product | Databricks | Dbt Semantic Layer | Delta Lake | Dimensional Modeling | Disaster Recovery | Encryption | File Formats | Google Cloud | Google Cloud Platform | High Availability | Identity and Access Management | Identity and access | Lakehouse | Microsoft Azure | Normalization | Partitioning | Platform Architecture | Product Architecture | Row Level Security | Schema evolution | Security Architecture | Semantic layer | Snowflake | Spark SQL | Streaming | Vault modeling | Web Services
Education
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