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Data Architect Lead.info Tech Services

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Dallas County
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: 1000000545.DATA ARCHITECT LEAD.INFO TECH SERVICES

Job Description

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. Partners with business stakeholders to ensure architecture supports service delivery outcomes. Ensures data architecture aligns with County SLAs, uptime, and disaster recovery requirements. Leads design of reference architectures for citizen-facing dashboards, portals, and APIs. Guides data lifecycle management strategies including versioning, archiving, and retention. Ensures data systems support performance, security, compliance, and cost-efficiency.

Partners with infrastructure and cybersecurity teams to align on secure, scalable architecture. Supports Dev Ops and data engineering teams in implementing CI/CD and IaC standards. Leads architecture reviews for data-intensive systems, integrations, and vendor platforms. Recommends tools and platforms that improve operational efficiency and performance. Supports automation of governance, metadata, and lineage tracking processes. Identifies and addresses architectural bottlenecks and areas of technical debt.

Provides design oversight on integration architectures including APIs, events, and batch workflows. Promotes standardization of data services across departments and business units. Architects enterprise data platforms that support analytics, BI, AI, and digital applications. Defines models for master data, reference data, metadata, and domain-driven design. Establishes architectural patterns for data ingestion, transformation, and consumption. Guides the design of semantic layers and business views that enable self‑service analytics.

Ensures interoperability between systems through open standards and shared definitions. Contributes to vendor evaluations and solution architecture for COTS and SaaS platforms. Supports system architects and engineers in designing data‑aware applications and APIs. Leads planning for data mesh, lakehouse, and real‑time architecture transitions. Develops long‑term architecture strategies aligned to business modernization goals. Represents data in the County’s enterprise architecture and technology governance bodies.

Establishes standards for data modeling, naming, lineage, and quality across the enterprise. Defines architecture metrics for scalability, data quality, and platform health. Supports data governance initiatives with architectural policies and guidance. Guides implementation of frameworks for classification, tagging, and access control. Contributes to data catalog and knowledge graph design to promote data discovery. Leads evaluations of architecture decisions through post‑implementation reviews.

Ensures data architecture supports transparency, accessibility, and inclusion. Promotes reuse of data structures, pipelines, and semantic models. Stays current on emerging trends in data fabric, graph architecture, and AI infrastructure. Continuously improve architecture standards to support agility and innovation. Mentors data engineers, analysts, and architects on data design and modeling best practices. Leads architectural communities of practice and…

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