What are the responsibilities and job description for the Azure Data Administrator position at Inherent Technologies?
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Review and validate the **Azure Data Explorer (ADX)** architecture to ensure scalability, resiliency, and performance. Recommend and implement approved changes to cluster sizing, partitioning strategies, and cache policies.
Ensure integration of data pipelines such as Vector, Event Hubs, Azure Blob, Cribl, NiFI ensuring high throughput and fault tolerance.
Develop and maintain "Kusto Query Language (KQL)" functions, materialized views, and time-series optimizations to support advanced querying and SIEM use cases.
Ensure all data ingestion flows are monitored end-to-end, with alerting and logging for failures, latency issues, or schema mismatches.
Build and maintain data quality monitoring dashboards to identify missing, delayed, malformed, or duplicate events, and proactively address anomalies.
Implement and document data normalization practices, including alignment with schema standards like OCSF when applicable.
Configure and maintain role-based access control (RBAC) and ensure compliance with corporate data governance and security standards.
Provide cost visibility and optimization strategies, including usage tracking, retention tuning, and query performance analysis.
Review and validate the **Azure Data Explorer (ADX)** architecture to ensure scalability, resiliency, and performance. Recommend and implement approved changes to cluster sizing, partitioning strategies, and cache policies.
Ensure integration of data pipelines such as Vector, Event Hubs, Azure Blob, Cribl, NiFI ensuring high throughput and fault tolerance.
Develop and maintain "Kusto Query Language (KQL)" functions, materialized views, and time-series optimizations to support advanced querying and SIEM use cases.
Ensure all data ingestion flows are monitored end-to-end, with alerting and logging for failures, latency issues, or schema mismatches.
Build and maintain data quality monitoring dashboards to identify missing, delayed, malformed, or duplicate events, and proactively address anomalies.
Implement and document data normalization practices, including alignment with schema standards like OCSF when applicable.
Configure and maintain role-based access control (RBAC) and ensure compliance with corporate data governance and security standards.
Provide cost visibility and optimization strategies, including usage tracking, retention tuning, and query performance analysis.
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