Enterprise Architect- Data & Analytics (1124299)

Location: Tustin, CA

Salary: $140,000.00 USD Annually - $150,000.00 USD Annually

Description

Enterprise Architect- Data & Analytics

Irvine, CA

Fulltime

Experience Required: 10–16 years overall IT experience; 5–7 years in data/analytics architecture and enterprise reporting ecosystems

The Enterprise Architect (Data & Analytics) provides architectural leadership across data platforms, analytics ecosystems, and enterprise reporting architectures, ensuring alignment with business goals, governance standards, and long-term data strategy.

Skills Required

• Strong experience in enterprise data and analytics architecture
• Expertise with BI and reporting platforms (Power BI, Tableau, enterprise reporting ecosystems)
• Experience defining semantic layer strategy, dataset governance, and analytics consumption patterns
• Understanding of modern data platforms (warehouse/lake/lakehouse) and data pipeline patterns
• Knowledge of enterprise integration patterns for data ingestion and data product enablement
• Experience with metadata management and data catalogs (concepts and patterns)
• Experience with data governance, data quality, lineage, and stewardship models
• Awareness of privacy, security, and regulatory considerations impacting enterprise data
• Ability to embed governance-by-design into data architecture recommendations
• Ability to translate business analytics needs into architecture designs and roadmaps
• Experience producing executive-ready architecture artifacts and recommendations
  
  

Responsibilities

• Define and maintain enterprise data architecture blueprints (sources, flows, transformations, quality, governance, and security)
• Assess current-state data, analytics, and reporting architectures; identify gaps, risks, and opportunities for modernization
• Define target-state analytics/BI architecture (semantic layer, dataset strategy, reporting ecosystem evolution) and migration pathways
• Establish and govern enterprise standards for data modeling, metadata, and platform patterns; drive consistency across domains
• Drive data governance controls (quality, lineage, access, compliance) and ensure architecture aligns with privacy/security expectations
• Define roadmap recommendations for data platforms and storage approaches balancing performance, cost, and compliance
• Partner with stakeholders to capture analytics requirements and translate them into architecture decisions and non-functional expectations
• Ensure BI modernization programs align to enterprise data standards and governance expectations
• Produce executive-ready architecture recommendations and assessment deliverables
  
  

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