Enterprise Solutions Architect Consultant – Data & Analytics Assessment
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Key skills for this role
About the Role
Purpose: Conduct a technical assessment of the existing data, analytics, reporting, and integration ecosystem to identify architecture weaknesses, performance bottlenecks, scalability concerns, data quality issues, governance gaps, and operational risks.
Key Skills for This Role
Full Job Posting
Purpose
Conduct a technical assessment of the existing data, analytics, reporting, and integration ecosystem to identify architecture weaknesses, performance bottlenecks, scalability concerns, data quality issues, governance gaps, and operational risks.
Provide recommendations and a target-state architecture to improve reliability, maintainability, and scalability.
Architecture Review
- Review existing data architecture, reporting architecture, and integration landscape.
- Assess current-state databases, data warehouses, semantic models, and reporting platforms.
- Evaluate scalability, maintainability, reliability, and performance of the overall architecture.
- Identify architectural debt and areas of technical risk.
Data Platform Assessment
- Review existing data pipelines, ETL/ELT processes, transformation logic, and data flows.
- Assess data lineage, data quality controls, reconciliation processes, and governance mechanisms.
- Identify inefficiencies, duplicated logic, and data consistency issues.
- Review source-to-report data flow and transformation layers.
Infrastructure & Performance Assessment
- Assess database performance, query optimization, refresh processes, and resource utilization.
- Review platform configurations, environments, deployment practices, and monitoring capabilities.
- Identify bottlenecks impacting report performance, refresh reliability, or platform stability.
- Evaluate disaster recovery, backup, and operational resilience capabilities.
Integration & Connectivity Review
- Review system integrations, APIs, replication processes, and connectivity architecture.
- Assess reliability of data movement between source systems and reporting platforms.
- Identify latency, failure points, and integration risks.
- Recommend improvements to integration design and monitoring.
BI & Reporting Assessment
- Review reporting architecture, semantic models, and dashboard ecosystem.
- Identify duplication, performance issues, and scalability concerns.
- Assess adherence to BI best practices and governance standards.
- Recommend improvements to reporting design and data consumption layers.
• Prioritized Remediation Plan
- Executive Summary with Recommendations
Required Experience
- 8+ years in Enterprise Architecture, Solution Architecture, Data Architecture, or Data Engineering Leadership.
- Strong expertise in:
- Data Warehousing
- ETL/ELT Architecture
• Cloud & On-Prem Data Platforms
- Proven experience conducting architecture reviews and platform assessments.
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