Data Management Architect Senior

Teacher Retirement System of Texas (TRS)•Austin, TX

1d•Onsite

About The Position

The Information Technology (IT) Division lays the foundation for TRS to deliver excellent service experiences across the organization and with our members. We serve with purpose through mentorship and collaboration across a broad variety of teams unified by innovation to create technology and information solutions that have a positive impact on our members’ lives. We invite you to join one of Austin’s Top Workplaces. TRS offers a best-in-class combination of technology and continuous learning opportunities to equip you to solve problems, expand your knowledge, and create impact for 1 in 20 Texans. The Data Management Architect Senior plays a critical role in developing, governing, and maintaining the enterprise data architecture to ensure data is reliable, consistent, and trusted across the organization. The role provides advanced expertise in data modeling, metadata and catalog practices, semantic standards, and data lineage documentation. This position works proactively with internal and external data teams, architects, and senior business stakeholders to drive complex data initiatives, establish enterprise data standards, and enhance the organization’s overall data management maturity.

Requirements

Bachelor's degree from from an accredited college or university in computer information systems, computer science, data management, information systems, information science, or a closely related field.
High School diploma or equivalent and additional full-time experience in data modeling or similarly related experience may substituted on an equivalent year-for-year basis.
Five (5) years of full-time directly related, progressively responsible experience in data modeling, metadata, data governance or related experience.
A master's degree or doctoral degree in a directly related field may be substituted on an equivalent year-for-year basis.
None.
Knowledge of:
Established data modeling methodologies & standards
Metadata, catalog, and lineage frameworks across systems
SQL, relational design; distributed data platform familiarity
Modern governance incl. business glossary management
Agile delivery & cross-team collaboration patterns
Skills in:
Creating/refining data models across systems
Applying metadata standards & semantic tagging at scale
Analyzing lineage & data flows for quality/trust
Facilitating sessions with stewards/analysts/engineers
Driving business glossary adoption & catalog usability
Ability to:
Translate business requirements into structured models
Apply governance & metadata standards across systems
Enhance lineage, glossary, and classification
Improve discoverability & catalog adoption enterprise-wide
Communicate complex concepts to technical & non-technical audiences

Nice To Haves

Certifications in data modeling, governance, or catalog tools
Experience with Azure, Databricks, Synapse, Fabric, Snowflake
Hands-on metadata automation or lineage tooling

Responsibilities

Enterprise Data Modeling, Semantics & AI Enablement
Develops conceptual, logical, physical models across domains.
Maps transformations & integrations, and drive clarity across systems.
Reverse-engineers legacy data structures to modernize, streamline, and rationalize system designs.
Uses ER/Studio & model automation to ensure standards and performance.
Governs design-to-implementation alignment with engineering.
Expands taxonomy and ontology usage across domains.
Applies semantic tagging to improve discovery, trust, and reuse.
Aligns semantic attributes with lineage & classification rules.
Data Governance, Metadata & Catalog Management
Maintains and enriches data dictionaries while automating metadata ingestion and scanning processes.
Applies lineage and classification standards (Purview/Unity Catalog).
Connects catalog to BI and ETL/ELT pipelines.
Expands glossary coverage with stewards.
Implements catalog APIs for programmatic queries/updates.
Trains users on catalog practices and continuously monitors metadata quality KPIs.
Data Strategy & Readiness
Translates business needs into structured data designs and metadata deliverables
Prioritizes modeling/governance work with product owners.
Provides status & risk updates; manage dependencies.
Supports business-led analytics and stewardship routines.
Team Enablement & Knowledge Transfer
Facilitates design/model reviews while maintaining standards and templates.
Supports cross-enterprise stewardship and governance routines.
Creates training materials and onboarding guides for business users.
Performs related work as assigned.