Data Architect

CGI•All, AL

10h•Onsite

About The Position

Enterprise Data Architecture & Strategy. Define and maintain the enterprise data architecture vision, roadmap, and standards for Microsoft Fabric and related data platforms. Establish architectural patterns for data ingestion, transformation, storage, integration, and consumption. Develop reference architectures and best practices for enterprise data platforms. Evaluate emerging technologies and recommend innovations that improve data capabilities and business outcomes. Collaborate with enterprise architects, solution architects, business stakeholders, and technical teams to align data strategy with organizational goals. Data Modeling & Information Architecture. Lead conceptual, logical, and physical data modeling initiatives across enterprise domains. Design and govern enterprise data models supporting operational, analytical, and reporting use cases. Establish standards for dimensional modeling, data vault, normalized, and lakehouse modeling approaches. Ensure consistency and reuse of master, reference, and shared business data. Define business data domains, data ownership, and stewardship models. Data Governance, Security & Compliance. Establish metadata management, data lineage, cataloging, and stewardship practices. Ensure compliance with regulatory, privacy, and security requirements. Partner with governance and security teams to enforce data protection and auditability standards. Define retention, archival, and disaster recovery strategies for enterprise data assets. Data Quality & Master Data Management. Establish enterprise data quality frameworks, monitoring, and remediation processes. Define standards for data validation, reconciliation, and observability. Support master data management (MDM) and reference data management initiatives. Promote trusted data assets through governance and quality controls. Leadership & Stakeholder Engagement. Provide architectural leadership across data engineering, analytics, BI, and business teams. Lead architecture reviews and governance boards for data initiatives. Mentor architects, engineers, and analysts on data architecture best practices and Microsoft Fabric capabilities. Communicate architectural decisions, roadmaps, and recommendations to executive and technical stakeholders. Drive adoption of enterprise architecture standards and governance processes.

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or related field.
8+ years of experience in data architecture, enterprise data management, or large-scale data platform design.
Strong expertise in enterprise data architecture, data modeling, and information management.
Experience designing lakehouse, data warehouse, and hybrid data architectures.
Proven experience implementing enterprise data governance and security frameworks.
Advanced SQL and data transformation expertise.
Strong understanding of cloud-native data platforms and distributed data processing.
Experience designing scalable data integration and ingestion architectures.

Nice To Haves

Knowledge of Data Vault, Kimball, and modern data modeling methodologies.
Experience implementing Microsoft Purview or other enterprise data governance solutions.
Familiarity with data mesh, domain-driven design, and modern data platform architectures.
Knowledge of AI/ML data architecture patterns and Fabric AI capabilities.

Responsibilities

Define and maintain the enterprise data architecture vision, roadmap, and standards for Microsoft Fabric and related data platforms.
Establish architectural patterns for data ingestion, transformation, storage, integration, and consumption.
Develop reference architectures and best practices for enterprise data platforms.
Evaluate emerging technologies and recommend innovations that improve data capabilities and business outcomes.
Collaborate with enterprise architects, solution architects, business stakeholders, and technical teams to align data strategy with organizational goals.
Lead conceptual, logical, and physical data modeling initiatives across enterprise domains.
Design and govern enterprise data models supporting operational, analytical, and reporting use cases.
Establish standards for dimensional modeling, data vault, normalized, and lakehouse modeling approaches.
Ensure consistency and reuse of master, reference, and shared business data.
Define business data domains, data ownership, and stewardship models.
Establish metadata management, data lineage, cataloging, and stewardship practices.
Ensure compliance with regulatory, privacy, and security requirements.
Partner with governance and security teams to enforce data protection and auditability standards.
Define retention, archival, and disaster recovery strategies for enterprise data assets.
Establish enterprise data quality frameworks, monitoring, and remediation processes.
Define standards for data validation, reconciliation, and observability.
Support master data management (MDM) and reference data management initiatives.
Promote trusted data assets through governance and quality controls.
Provide architectural leadership across data engineering, analytics, BI, and business teams.
Lead architecture reviews and governance boards for data initiatives.
Mentor architects, engineers, and analysts on data architecture best practices and Microsoft Fabric capabilities.
Communicate architectural decisions, roadmaps, and recommendations to executive and technical stakeholders.
Drive adoption of enterprise architecture standards and governance processes.