1000000545.DATA ARCHITECT LEAD.INFO TECH SERVICES
Dallas County · Dallas, TX · 13 mo ago
EngineeringFull-time
About the role
Provides strategic leadership in designing the enterprise data architecture, ensuring the County’s data platforms, structures, and integrations are scalable, secure, interoperable, and aligned with business goals. Defines data modeling standards, governance frameworks, and architecture blueprints that enable analytics, artificial intelligence (AI), and modern application development. Partners with technology, business, and governance teams to advance data modernization and digital equity initiatives.
Responsibilities
- Defines and manages enterprise data architecture frameworks, standards, and roadmaps.
- Ensures consistent design and delivery of data platforms supporting analytics, reporting, and AI.
- Oversees design and adoption of enterprise data models, taxonomies, and ontologies.
- Leads architecture planning for cloud data platforms, warehouses, lakes, and integrations.
- Ensures availability, reliability, and quality of data consumed by internal and public-facing systems.
- Guides the implementation of architecture solutions that enable seamless data access and reuse.
- Supports modernization of legacy platforms into modular and interoperable systems.
- Promotes standardization of data services across departments and business units.
- Architects enterprise data platforms that support analytics, BI, AI, and digital applications.
- Develops long-term architecture strategies aligned to business modernization goals.
- Represents data in the County’s enterprise architecture and technology governance bodies.
- Supports cross-departmental and cross-agency collaborations through shared architecture.
- Facilitates communication between technical and non-technical audiences.
- Presents architecture updates and roadmaps to executive committees and boards.
- Helps embed data equity and digital inclusion into architecture decisions.
- Represents data architecture in County innovation and digital transformation programs.
Qualifications
- Education and experience equivalent to a Bachelor’s degree from an accredited college or university in Computer Science, Software Engineering, or related field (Master’s preferred).
- Six (6) years of experience in data engineering, cloud platforms, or AI-driven data processing, with 2 years in a technical leadership role.
- Certifications (Preferred): Certifications in cloud architecture (Azure, AWS, GCP), data modeling, and governance tools TOGAF, DAMA, or equivalent architecture frameworks.
- Special Requirements/Knowledge, Skills & Abilities:
- Skill in SQL, Python, and/or Scala for data transformation.
- Knowledge of cloud data platforms (Azure, AWS, Google Cloud) and hybrid data architectures.
- Knowledge of real-time data streaming (Kafka, Kinesis, Pub/Sub).
- Knowledge of enterprise-wide data governance implementation.
- Knowledge of enterprise data architecture and governance.
- Leadership and stakeholder engagement skills.
- Ability to architect scalable, high-performance data solutions.
- Knowledge of cloud computing, data security, and regulatory compliance.
- Ability to have analytical skills and the ability to drive strategic data initiatives.
- Knowledge of AI/ML-driven data solutions and automation.
- Knowledge of data architecture, governance, integration, and analytics enablement.
- Ability to drive strategic transformation through scalable and interoperable architecture.
- Collaboration, communication, and leadership across business and technical domains.
Physical/Environmental Requirements
- Occasional travel to County sites, vendor meetings, conferences, and industry events.
- Ability to work in a fast-paced, evolving technology environment.