Enterprise Architect- Data & Analytics

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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