Job Title: Enterprise Data Architect
Duration: 6 months (with potential extension to 12 months)
Work Schedule: On-site, 4 days per week (Monday to Thursday) in Houston
Overview
This role is critical to establishing a scalable, secure, and governed data foundation that enables data driven decision making and long term business value. The Senior Enterprise Data Architect partners closely with business data stakeholders, data product teams, and cross functional technology teams to ensure alignment between data architecture and business objectives.
Responsibilities
• Define and maintain the enterprise data architecture strategy including data models, integration frameworks, governance standards, and data lifecycle management in support of the customer's business goals
• Collaborate with business data stakeholders and data product teams to translate business needs into technical data solutions aligned to business value
• Develop and maintain conceptual, logical, and physical data models to ensure consistency and scalability across the enterprise
• Establish and enforce data governance processes including data quality, security, compliance, and metadata management
• Lead architectural reviews to ensure adherence to enterprise data architecture standards and best practices
• Identify opportunities to optimize the data landscape by reducing redundancy, improving integration, and increasing accessibility
• Enable reuse of data assets, schemas, and patterns to improve efficiency and accelerate delivery
• Evaluate emerging data technologies such as cloud native data platforms, artificial intelligence driven analytics, and real time data processing through proof of concept initiatives
• Manage enterprise data architecture tools and repositories such as data catalogs and metadata platforms
• Act as a bridge between data product teams, solution architects, and business stakeholders
• Drive a Data Architecture Community of Practice to promote collaboration and industry thought leadership
• Develop and document data architecture standards and guidelines for enterprise use
• Communicate data strategy and business drivers clearly to technical and non technical audiences
• Manage the enterprise data portfolio including recommendations for platform upgrades, training, and new technology adoption
• Support the customer's Emergency Operation Plan by ensuring data availability and integrity during critical operations
Required Qualifications
• Bachelor's degree in Information Systems, Computer Science, Data Science, or a related field from an accredited institution
• Minimum of twelve years of information technology experience with at least seven years in data architecture or enterprise data management roles
• TOGAF certification required
• Deep expertise in data architecture best practices, data modeling, governance, and integration standards
• Experience collaborating across business units, data engineering, security, and infrastructure teams
• Experience with enterprise data management tools such as Collibra, Informatica, Alation, or similar platforms
• Strong knowledge of cloud data platforms including AWS, Azure, or Google Cloud
• Familiarity with data governance frameworks and regulatory compliance requirements such as GDPR or CCPA
• Experience using data modeling tools such as ERwin, PowerDesigner, or similar
• Strong analytical and problem solving skills related to complex data challenges
Preferred Qualifications
• Master's degree in a related field
• Experience in regulated industries such as electric or gas utilities
• Experience with change management, release management, and data lifecycle management practices
Work Environment and Physical Requirements
• Ability to communicate effectively through written and verbal channels in person or via virtual collaboration tools
• Ability to operate standard office equipment including personal computers
• Ability to work regular business hours with occasional additional hours as required
• Ability to perform effectively in a dynamic and evolving work environment