Enterprise Data Architect

About the role

The consultant will provide strategic leadership in designing next-generation enterprise data platforms, cloud-based analytics solutions, and modern data architectures that support digital transformation, advanced analytics, and AI-driven decision making.

Responsibilities

• Lead enterprise Data Management Strategy development.
• Define enterprise data architecture and modernization roadmaps.
• Design next-generation cloud-native data warehouse solutions.
• Architect enterprise data platforms supporting current and future business needs.
• Develop execution plans, implementation roadmaps, and cost estimates.
• Evaluate and recommend enterprise data technologies and platforms.
• Lead technology selection and solution architecture activities.
• Design scalable enterprise data integration and analytics architectures.
• Develop customer engagement strategies for enterprise data initiatives.
• Auxiliary in defining enterprise data management organizational structure.
• Drive cloud enablement and digital transformation initiatives.
• Architect Data Lake, Lakehouse, Data Mesh, and Data Fabric solutions.
• Implement enterprise Data Governance, Metadata Management, and Master Data Management (MDM) strategies.
• Collaborate with business and technical stakeholders to align data initiatives with organizational objectives.
• Anticipate project risks, bottlenecks, and technical constraints while recommending mitigation strategies.
• Provide thought leadership on emerging technologies, AI/ML integration, and modern analytics platforms.
• Prepare architecture documentation, executive presentations, and strategic recommendations.
• Mentor technical teams and establish enterprise architecture best practices.

Requirements

• Enterprise Data Architecture
• Enterprise Data Management
• Data Management Strategy
• Data Warehouse Modernization
• Cloud Data Platforms
• Microsoft Azure
• Amazon Web Services (AWS)
• Google Cloud Platform (GCP)
• Snowflake
• Azure Synapse Analytics
• Google BigQuery
• Amazon Redshift
• Databricks
• Microsoft Fabric
• Delta Lake
• Data Lake Architecture
• Lakehouse Architecture
• Data Mesh
• Data Fabric
• Data Governance
• Master Data Management (MDM)
• Metadata Management
• Data Quality Frameworks
• ETL/ELT Architecture
• Azure Data Factory
• Informatica
• Talend
• dbt
• Fivetran
• Enterprise Solution Architecture
• Cloud Architecture
• Hybrid Cloud
• TOGAF
• Zachman Framework
• AI/ML Integration
• Generative AI
• Docker
• Kubernetes
• Serverless Computing
• DevOps
• DataOps

Preferred Skills

• Decision Sciences
• Digital Transformation
• Enterprise Analytics
• Business Intelligence
• Cloud Migration
• Enterprise Integration
• Performance Optimization
• Data Security
• Executive Stakeholder Management
• Strategic Technology Planning

Required Qualifications

• Bachelor's Degree in Computer Science, Information Systems, Engineering, or related field (or equivalent work experience).
• Minimum 18 years of enterprise IT experience.
• Extensive experience with Enterprise Data Management Architecture.
• Experience designing enterprise data modernization solutions.
• Experience developing enterprise solution architectures.
• Experience implementing cloud-based enterprise data platforms.
• Experience architecting solutions using emerging technologies and modern enterprise data landscapes.
• Experience supporting State or Local Government agencies (minimum 2 years).
• Strong leadership, presentation, communication, and stakeholder management skills.
• Experience leading enterprise digital transformation initiatives.

Preferred Qualifications

• Experience leading enterprise Data Warehouse modernization projects.
• Experience with Data Mesh and Data Fabric architectures.
• Experience with AI/ML and Generative AI integration into enterprise analytics.
• Experience with enterprise architecture frameworks such as TOGAF or Zachman.
• Experience implementing modern cloud-native analytics platforms.
• Experience mentoring enterprise architecture and data engineering teams.

Deliverables

• Enterprise Data Management Strategy
• Data Architecture Roadmaps
• Enterprise Solution Architecture
• Cloud Data Platform Architecture
• Data Warehouse Modernization Strategy
• Technology Evaluation Reports
• Data Governance Framework
• Enterprise Data Models
• Implementation Roadmaps
• Cost Estimates
• Executive Presentations
• Architecture Diagrams
• Technical Standards
• Strategic Recommendations
• Knowledge Transfer Documentation

Education

• Bachelor's Degree in Computer Science, Information Systems, Engineering, or related field (or equivalent work experience).