Enterprise Data Architect

TX-HHSC-DSHS-DFPS • Austin, TX

1d • Hybrid

About The Position

The Texas Department of Family and Protective Services (DFPS) works to build on strengths of families and communities to keep children and vulnerable adults safe, so they thrive. We do this through investigations, services, and referrals.

Performs highly complex (senior-level) data architecture work for both analytical and transactional systems. This role establishes and maintains data standards, reference architectures, and data integration patterns that enable operational excellence for reporting and analytics use cases. Other responsibilities include designing and implementing enterprise data models, architecting data solutions for OLTP and OLAP systems, and defining modeling patterns for data warehouses, data lakes, and lakehouse platforms. Works under limited supervision with moderate latitude for initiative and independent judgment.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• Minimum 8+ years of experience in enterprise data architecture, data engineering, or enterprise architecture roles.
• Hands-on knowledge of relational and non-relational databases, data warehouse, and data lakes.
• Knowledge of Inmon and Kimball concepts.
• Proven expertise with cloud data platforms (e.g., AWS, Azure, GCP) and hybrid environments.
• Deep understanding of data governance, data quality, and metadata management concepts.
• Advanced knowledge of data architecture principles, data modeling (conceptual, logical, physical), and database design for OLTP and OLAP systems.
• Expertise in data warehousing, ETL processes, and business intelligence tools.
• Strong understanding of data governance, metadata management, and master data management.
• Familiarity with application platform architecture and application development concepts to ensure alignment between data and application layers.
• Strong written and verbal communication skills with the ability to translate complex technical concepts for business and non-technical audiences.
• Ability to translate business requirements into technical solutions and communicate effectively across all organizational levels.
• Expertise with data security, privacy standards, and compliance frameworks.
• Strong analytical, problem-solving, and leadership skills.
• Ability to adapt to emerging technologies and drive innovation in data architecture.
• Graduation from a four-year college or university with major coursework in computer engineering, computer science, information systems, information technology or related field. Work experience may be substituted for education on a year-for-year basis.

Nice To Haves

• Prefer experience in Informatica Data Management Cloud (IDMC), Tableau Cloud, and Databricks

Responsibilities

• Design, implement and maintain the enterprise data architecture across transactional and analytical systems, including OLTP, OLAP, and data analytics platforms.
• Develop conceptual, logical, and physical data models to support business processes and reporting needs.
• Define enterprise standards for data naming, metadata, reference data, and master data and guide solution architects and development teams in applying enterprise data standards.
• Define enterprise data integration patterns for APIs, event-driven architectures, messaging, and batch data pipelines.
• Lead and support data interoperability, including ETL processes with internal systems, external partners, and third-party platforms.
• Architect data solutions that support reporting, BI, advanced analytics, and data sharing techniques.
• Develop reference architecture, principles, and standards to guide enterprise data initiatives and ensure consistency across systems.
• Collaborate with application architects and development teams to ensure data architecture aligns with application platform architecture and supports application functionality.
• Evaluate and select data management tools and platforms, including cloud and on-premise solutions, and define usage guidelines.
• Monitor and optimize data architecture performance, ensuring scalability, security, and compliance with regulatory requirements.
• Provide technical leadership and mentorship to teams on data architecture principles and practices.
• Conduct impact analysis for changes to data models and metadata, communicating implications to stakeholders.

Benefits

• 100% paid health insurance for you, and 50% paid for eligible family members—saving you hundreds every month in out-of-pocket medical costs
• Retirement plans with lifetime monthly payments after five years of state service, plus options to save even more with 401(k) and 457 plans
• Paid vacation, holidays, and sick leave so you can recharge and take care of life outside work (that’s time off you’re actually paid for)
• Optional dental, vision, and life insurance—at rates much lower than most private plans
• Flexible spending accounts for added tax savings on health and dependent care
• Employee discounts on things like gym memberships, electronics, and entertainment

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees