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Sr. Data Architect Specialist

Sr. Data Architect Specialist

Confidential
10-12 Years
Not Disclosed
  • Posted an hour ago
  • Be among the first 10 applicants

Job Description

Are you an experienced Data Architect with expertise in enterprise data platforms, data governance, and cloud-based data solutions

We are looking for a Sr. Data Architect Specialist to define and lead the enterprise data architecture, ensuring data is trusted, governed, integrated, and readily available to support analytics, business intelligence, and AI initiatives.

Key Responsibilities

  • Design and define the target enterprise data architecture, including data platforms, data models, and integration patterns across lakehouse and data warehouse environments.
  • Establish enterprise data standards, master data management practices, metadata management frameworks, and data quality rules.
  • Align data architecture with SAP, Operational Technology (OT) historian systems, and cloud-based data sources.
  • Collaborate with data governance and cybersecurity teams to establish data classification, retention, and access control requirements.
  • Review data architecture and solution designs to ensure alignment with enterprise standards and business objectives.
  • Provide technical guidance and architectural direction to data engineering teams.
  • Support the development of scalable, secure, and reliable data platforms for analytics and AI.

Qualifications & Requirements

  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
  • Minimum of 10 years of relevant experience in data architecture, enterprise data management, or data engineering.
  • Certifications: Azure Data Engineer or Microsoft Fabric certification.
  • Preferred: TOGAF or Certified Data Management Professional (CDMP).
  • Strong knowledge of enterprise data modelling, data integration, and data architecture principles.
  • Hands-on experience with Azure Synapse Analytics, Microsoft Fabric, Databricks, Microsoft Purview, and SQL.
  • Experience integrating and managing SAP data within enterprise data platforms.
  • Knowledge of Oil & Gas (O&G) data environments, including PI System / OT historian and ERP data, is preferred.
  • Strong analytical, architectural design, and stakeholder management skills.

More Info

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Key Skills

data architecture principles

Microsoft Purview

Microsoft Fabric

data quality rules