In one sentence
The Data Ops Engineer is responsible for data ingestion, transformation, curation, and reliability across Sentinel, Defender, Graph, and ADLS. This role ensures data is timely, correct, and analytics-ready for AI agents.
What will your job look like?
Manage Sentinel connectors, Defender XDR ingestion, Graph/Policy/Purview pipelines. Build and maintain Data Collection Rules for Standard & Auxiliary tables. Develop RAW CURATED Delta pipelines in ADLS; manage schema evolution. Build and govern curated security tables (vulnerabilities, policy states, TI normalization). Maintain Aux tables for enrichment (AssetOwnerCriticality, control catalogs). Manage metadata and lineage using Purview (optional). Build and refresh RAG indexing pipelines for AI Search. Monitor ingestion SLAs and resolve pipeline failures
All you need is...
Required Skills Strong Azure Data Engineering background. Experience with DCR, Law ingestion, Auxiliary tables. Databricks/Spark/Synapse experience for Delta Lake pipelines. Understanding of security data schemas: incidents, alerts, timelines, logs.Preferred Experience with Defender for Cloud, Defender TI, Azure Policy Insights.

Keyskills: Azure Data Engineering Retrieval Augmented Generation Python DCR Auxiliary tables. Low ingestion
Amdocspurpose is to enrich lives and progress society, using creativity and technology to build a better connected world. Amdocs and its 26,000 employees partner with the leading players in the communications and media industry, enabling next-generation experiences in 85 countries. Our cloud-native,...