Enterprise Data Architect

Enterprise Data Architect (Data Management Strategy & Data Warehouse Modernization)

Total Required Experience in Years: 18%2B Years

Mode of Work: Hybrid (3Days Onsite / 2 Days Remote), Texas locals only

Seeking an experienced Enterprise Data Architect to lead enterprise-wide Data Management Strategy and Data Warehouse Modernization initiatives. 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.

The ideal candidate will possess deep expertise in enterprise data architecture, cloud data platforms, modern data warehouses, data governance, emerging technologies, and enterprise architecture frameworks while collaborating with executive leadership and technical teams to define long-term data strategies and implementation roadmaps.

Key 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.

• Assist 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.

Required Skills:

• 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).