Data Governance Architect
Summary
Designs and evaluates data storage, ingestion, and processing architectures to align with best practices for cloud-native and lakehouse systems.
Current State (As Is) Assessment Conduct a detailed as is assessment of the data landscape, covering: Data storage platforms (on prem, cloud, lakehouse, warehouse) Data ingestion and integration pipelines (batch, streaming, real time) Data processing frameworks and analytical workloads Data consumption patterns (BI, reporting, advanced analytics, AI/ML) Evaluate the current architecture against industry best practices and reference architectures in areas such as: Cloud native and Lakehouse patt…