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Manager Data Architecture Jobs in Texas (NOW HIRING)

Genius Road, LLC

Manager, Data Management

Dallas, TX · On-site

Requirements * 10+ years of experience in data management, data architecture, data governance, or related disciplines * 7+ years of leadership experience managing cross-functional teams including ...

Deckers

Data Architecture Lead Reports to: Director, Data Architecture Location: United States (Remote ... Experience with metadata management, data cataloging, and lineage concepts and platforms

Genius Road

Manager, Data Management #3291

Dallas, TX · Hybrid

Requirements * 10+ years of experience in data management, data architecture, data governance, or related disciplines * 7+ years of leadership experience managing cross-functional teams including ...

Deckers

Director, Data Architecture Reports to: Chief Digital & Data Officer Location: United States ... Experience with data cataloging, metadata management, and lineage tracking platforms

TEKsystems

Sr. MDM Data Architect

Dallas, TX · Hybrid

$80 - $100/hr

Master Data Management (MDM) * Support enterprise MDM strategy and architecture. * Define golden records, matching and merging logic, survivorship rules, and governance processes. * Partner with ...

TEKsystems

Sr. MDM Data Architect

Dallas, TX · Hybrid

$80 - $100/hr

Master Data Management (MDM) * Support enterprise MDM strategy and architecture. * Define golden records, matching and merging logic, survivorship rules, and governance processes. * Partner with ...

Vytwo

Senior Data Architect

Prosper, TX · On-site

$61.50 - $82.50/hr

This person should have deep expertise in modern data architecture patterns and the ability to ... Metadata Management: Design, support, and manage data dictionaries, metadata repositories, and ...

Vizient

AVP, Solutions Data Architecture

Irving, TX · On-site

$156K - $290K/yr

... management, risk mitigation, and quality controls. - Ensure initiatives are delivered on time ... Key Responsibilities - Data Platforms & Analytics - Provide leadership over the architecture and ...

YO AI Labs

Data Architect - Snowflake

Houston, TX · On-site

$61 - $78.25/hr

Support data architecture using Iceberg managed tables, including open table formats, interoperability, cataloging, and governed access patterns. * Use Snowflake Catalog and Snowflake Horizon to ...

YO AI Labs

Data Architect - Snowflake

Houston, TX · On-site

$140 - $190/hr

Support data architecture using Iceberg managed tables, including open table formats, interoperability, cataloging, and governed access patterns. * Use Snowflake Catalog and Snowflake Horizon to ...

LPL Financial

Principal Data Architect

Austin, TX · On-site

Define and drive enterprise data architecture strategy, roadmaps, and target-state blueprints ... Systems of Record & Enterprise Data Management * Establish architectural patterns for authoritative ...

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Manager Data Architecture information

What does a manager data architecture do?

A Manager Data Architecture oversees the design, implementation, and maintenance of an organization's data systems and structures. They ensure data is stored, managed, and accessed efficiently and securely, aligning data solutions with business needs. This role involves leading a team of data architects, collaborating with IT and business stakeholders, and setting data governance standards. They are critical in enabling data-driven decision making and supporting digital transformation initiatives within an organization.

What are the key skills and qualifications needed to thrive as a manager data architecture?

To thrive as a Manager Data Architecture, you need deep expertise in data modeling, database management, and enterprise data strategy, typically backed by a degree in computer science or a related field. Proficiency with tools like SQL, data warehousing platforms (e.g., Snowflake, Redshift), and frameworks such as TOGAF, along with relevant certifications, is often required. Strong leadership, communication, and problem-solving skills help drive cross-functional collaboration and guide data architecture teams. These competencies are critical for ensuring scalable, secure, and efficient data solutions that support business goals.

What are some common challenges faced by a manager data architecture, and how can they be effectively addressed?

A Manager Data Architecture often faces challenges like integrating data from disparate sources, ensuring data quality, and aligning data strategies with evolving business goals. Addressing these issues typically involves collaborating closely with IT, business stakeholders, and data governance teams to create robust data models and clear documentation. Proactively staying updated on emerging technologies and industry best practices also helps in anticipating potential roadblocks and implementing scalable, future-proof solutions.

What is the difference between Manager Data Architecture vs Data Engineer?

AspectManager Data ArchitectureData Engineer
CredentialsBachelor's or Master's in Computer Science, Data Management, or related fields; often certifications in data architecture or cloud platformsBachelor's in Computer Science, Software Engineering, or related; certifications in data engineering or cloud services are common
Work EnvironmentOversees data teams, designs data systems, collaborates with stakeholders, and manages data architecture projectsBuilds, develops, and maintains data pipelines, works with large datasets, and implements data solutions
Employer & Industry UsageUsed in organizations with complex data needs, including finance, healthcare, and tech companiesCommon in tech firms, startups, and any company with data infrastructure needs

The main difference is that a Manager Data Architecture focuses on designing and overseeing data systems and strategies, while a Data Engineer primarily builds and maintains the data pipelines and infrastructure. Both roles require strong technical skills, but the manager role emphasizes leadership and strategic planning.

What are the most commonly searched types of Data Architecture jobs in Texas?

The most popular types of Data Architecture jobs in Texas are:

What are popular job titles related to Manager Data Architecture jobs in Texas?

For Manager Data Architecture jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Manager Data Architecture jobs in Texas look for?

The top searched job categories for Manager Data Architecture jobs in Texas are:

What cities in Texas are hiring for Manager Data Architecture jobs?

Cities in Texas with the most Manager Data Architecture job openings:

Manager Data Architecture jobs near you
Infographic showing various Manager Data Architecture job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Program Manager, Data Architecture, ISO

Meta

Austin, TX

$123K/yr

Full-time

Posted 2 days ago

New

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

Integrity & Support Enablement (ISE), within Integrity & Support Operations (ISO), is a strategically-minded team building the shared architectures that enable Global Operations (GO) to operate from a single source of truth. The data architecture function within ISE ensures that operational data flows coherently between systems, that cost is attributed consistently, and that teams across GO speak a common language, so every team can measure, decide, and build without reinventing definitions.We are looking for a full-time Data Architecture Program Manager to join us. This is a function-building role: you will establish and scale the data governance and architecture practice for GO, defining the standards, frameworks, and integration patterns that multiple teams build on. Our program managers translate complex operational and technical requirements into shared data models, classification frameworks, and cross-system integration designs. They work closely with data science, engineering, and operations partners, serving as the connective layer between technical and non-technical stakeholders, and they deliver canonical structures that power decision-making at scale.
Program Manager, Data Architecture, ISO Responsibilities:
  • Define and govern shared operational data models and classification frameworks used across multiple teams and systems
  • establish architectural standards designed to scale beyond any single team or program
  • Translate business requirements into data architecture designs, mapping how information should be structured, stored, and integrated to drive informed decision-making and measurable outcomes
  • Develop a deep understanding of how data flows between operational systems to identify gaps, inconsistencies, and opportunities for standardization
  • Drive cross-functional alignment on shared definitions, integration standards, and field-level agreements between teams where no single team has unilateral authority
  • Manage schema evolution and breaking changes across dependent systems, including deprecation planning, coordinating dependent teams through transitions, and stakeholder communication
  • Partner with data science and engineering teams to translate architectural decisions into production-grade data products and pipelines
  • Design cost attribution and resource modeling that ensures budget and workforce data reconciles end-to-end
  • Anticipate future data needs across operational teams and proactively design canonical structures before teams build in isolation
  • Set the long-term data architecture strategy for GO, shaping roadmaps across product, engineering, and operations partners
  • Enable the development of internal tools and decision systems by defining the data requirements, specifications, and governance frameworks they depend on
  • Develop data architecture capability across the broader organization by mentoring program managers and embedding architectural thinking in teams across GO

Minimum Qualifications:
  • Bachelor's degree in a directly related field, or equivalent practical experience
  • BA/BSc degree in a quantitative, technical, or related field, or equivalent practical experience
  • 7+ years of program management or technical program management experience in a data-intensive technical environment
  • Demonstrated experience designing data models, taxonomies, or classification systems adopted across multiple teams or organizations
  • Ability to reason about data structures, schemas, pipeline architecture, and system integrations, including translating these concepts across technical and non-technical audiences
  • Proven track record of driving cross-functional consensus on shared standards or definitions, including with director- or VP-level stakeholders
  • Experience translating complex technical decisions for executive audiences and driving adoption across organizational boundaries
  • Experience leading schema governance or data standards programs end-to-end, including deprecation planning and migration coordination
  • Analytical thinking and structured problem-solving at scale
  • Experience working across global, multicultural teams

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience building internal tools or decision systems from requirements through adoption (not just consuming them)
  • Experience working in a technology company or fast-paced global operations environment
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with data pipeline orchestration, warehouse architecture, or ETL design
  • Experience with operational data in customer support, content moderation, trust & safety, or workforce management domains
  • Background in cost attribution, budget modeling, or operational finance
  • Experience managing schema governance and breaking changes across a large, distributed engineering organization
  • Proficiency in SQL and relational databases
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Track record of establishing data governance frameworks or canonical standards adopted at org or company scale
  • Prior experience building or scaling a data architecture function from early stage

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$123,000/year to $179,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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