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Sr. Data Architect Specialist

Confidential
Baladiyat ad Dawhah, QAT
Full-time
Mid-Senior
Onsite
Discovered Yesterday
Enterprise data architectureData modelingData integrationData governanceMaster data managementMetadata management

Full Job Posting

Role overview

Define and lead enterprise data architecture so data is trusted, governed, integrated, and available for analytics, business intelligence, and AI.

Key responsibilities

  • Design target enterprise architecture, including data platforms, models, and integration patterns across lakehouse and data warehouse environments.
  • Establish data standards, master data management practices, metadata frameworks, and data quality rules.
  • Align architecture with SAP, OT historian systems, and cloud data sources.
  • Work with governance and cybersecurity teams on data classification, retention, and access control.
  • Review solution designs, guide data engineering teams, and support scalable, secure data platforms for analytics and AI.

Qualifications and requirements

  • Bachelor's or master's degree in Computer Science, Information Technology, Engineering, or a related field.
  • At least 10 years of relevant experience in data architecture, enterprise data management, or data engineering.
  • Azure Data Engineer or Microsoft Fabric certification required; TOGAF or CDMP preferred.
  • Strong enterprise data modeling, integration, and architecture knowledge.
  • Hands-on Azure Synapse Analytics, Microsoft Fabric, Databricks, Microsoft Purview, SQL, and SAP data experience.
  • Oil & Gas data environments, including PI System/OT historian and ERP data, are preferred.
  • Strong analytical, architectural design, and stakeholder management skills.

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