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Data Architect Data Jobs in Texas (NOW HIRING)

Ascentt

Data Architect / Data Modeler

Plano, TX · On-site

Data Architect - Data & Semantic Modeling Role Overview We are seeking an experienced Data Architect with a strong focus on enterprise data modeling, semantic modeling, and modern data platform ...

Tata Consultancy Service Limited

Data Architect

Dallas, TX · On-site

$120K - $140K/yr

Must Have Technical/Functional Skills Required Technical Skills Cloud & Data Platforms • AWS • Snowflake • Data Lake Architecture • Data Warehouse Architecture • Cloud-Native Data Platforms ...

Staffingine LLC

Data Architect

Dallas, TX · On-site

$63 - $81/hr

Data Architect Job Location: Dallas , Texas Job Type: Contract Qualifying requirements * Experience in complex MDM architecture implementation including how handled data integration data modelling ...

Ascentt

Data Architect / Data Modeler

Plano, TX · On-site

The company is seeking an experienced Data Architect to focus on enterprise data modeling and modern data platform architecture, translating business requirements into reusable data structures and ...

Data Analysis Incorporated

Data Architect

Plano, TX · On-site

$61 - $78.50/hr

This role establishes data architecture standards, promotes database design best practices, and provides technical leadership for high-performance relational database environments. The position ...

Hirekeyz Inc

Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Role: Data Architect Location : Austin, TX 78728 ( Local to TX) Duration: Long Term Contract Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills ...

Whataburger

Sr. Data Architect

San Antonio, TX · On-site

$57.50 - $74/hr

Your Recipe for Impact - What You'll Do As a Sr. Data Architect, you will shape and scale the data foundation that fuels smarter decisions, powerful analytics, and next-generation AI capabilities ...

Spar Information Systems

Data Architect

Frisco, TX · On-site

$59.75 - $77/hr

The Sr. Data Architect will serve as the primary technical owner of the T-Finance Intelligence platform, a modernization initiative that consolidates Finance data into a governed, centralized ...

TSQ Systems Inc

Data Architect Manager

Dallas, TX · On-site

The Data Manager will be responsible for leading and mentoring a team of Data Architects, Data Analysts, Business Analysts, logical DBAs, and Project Managers. They will enforce data governance ...

Accelerize 360

Data Architect

Dallas, TX · On-site

$63 - $81/hr

Role Overview A360 is looking for a Data Architect to design and oversee the data foundations behind our client engagements across Banking, Insurance, Retail, and Sports. You'll shape how data is ...

Expand Energy

Data Architect

Spring, TX · On-site

$58.75 - $75.50/hr

The Data Architect defines and evolves platform capabilities that support analytics, data engineering, machine learning operations (MLOps), and emerging AI-driven use cases, ensuring solutions are ...

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Data Architect Data information

How much does a data architect get paid?

Data architects typically earn a median annual salary ranging from $100,000 to $150,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher salaries, often exceeding $160,000 annually.

What does a data architect do?

A data architect designs and manages the overall structure of an organization’s data systems, including databases and data pipelines. They develop data models, establish data standards, and ensure data security and quality, often using tools like SQL, cloud platforms, and data modeling software. Strong analytical skills and knowledge of data governance are essential for this role.

What is the difference between Data Architect Data vs Data Engineer?

AspectData Architect DataData Engineer
CredentialsTypically requires a bachelor's degree in computer science, data management, or related fields; certifications like CDMP or AWS Certified Data AnalyticsSimilar credentials; often holds degrees in computer science or software engineering; certifications like Google Cloud Professional Data Engineer
Work EnvironmentDesigns data systems, works on architecture planning, collaborates with stakeholdersBuilds and maintains data pipelines, implements data solutions, works closely with Data Architects
Industry UsageUsed across industries for designing enterprise data systemsCommonly employed in data pipeline development and data processing tasks

Data Architects Data focus on designing the overall data infrastructure and architecture, while Data Engineers implement and maintain the data pipelines and systems based on that architecture. Both roles are essential and often collaborate closely in data management projects.

How much do data architects make?

Data architects typically earn a median annual salary ranging from $100,000 to $150,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can earn higher salaries, often exceeding $160,000 annually.
What are popular job titles related to Data Architect Data jobs in Texas? For Data Architect Data jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Architect Data jobs in Texas look for? The top searched job categories for Data Architect Data jobs in Texas are:
What cities in Texas are hiring for Data Architect Data jobs? Cities in Texas with the most Data Architect Data job openings:
Data Architect Data jobs near you
Infographic showing various Data Architect Data job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Architect / Data Modeler

Ascentt

Plano, TX • On-site

Full-time

Re-posted 18 days ago

Job description

Ascentt is building cutting-edge data analytics & AI/ML solutions for global manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring passionate builders to shape the future of industrial intelligence.
Job Description: Data Architect - Data & Semantic Modeling
Role Overview
We are seeking an experienced Data Architect with a strong focus on enterprise data modeling, semantic modeling, and modern data platform architecture. The ideal candidate will have a minimum of 10 years of experience designing scalable data solutions, building conceptual, logical, physical, and semantic models, and enabling trusted analytics across the enterprise.
This role requires a candidate who can translate business requirements into reusable data structures, define consistent business metrics, and partner with engineering, analytics, governance, and business teams to create a strong data foundation. The candidate should have hands-on experience with modern cloud data platforms, lakehouse architecture, data warehousing, BI platforms, and governed data consumption layers.
Key Responsibilities
  • Design and maintain conceptual, logical, physical, and semantic data models to support reporting, analytics, operational, and advanced data use cases.
  • Define scalable data modeling patterns including dimensional models, star schemas, snowflake schemas, canonical models, entity relationship models, data vault concepts, and curated consumption-layer models.
  • Develop semantic models that establish consistent business definitions, KPIs, metrics, hierarchies, dimensions, and calculation logic across analytics and BI platforms.
  • Work with business stakeholders to understand processes, define business terms, identify key data domains, and convert requirements into clear and governed data models.
  • Partner with data engineering teams to ensure data models are accurately implemented across data pipelines, warehouses, lakehouses, and semantic layers.
  • Establish standards for naming conventions, keys, relationships, metadata, data lineage, data quality rules, and modeling documentation.
  • Support modern data platform architecture across technologies such as Databricks, Snowflake, Azure Synapse, Microsoft Fabric, AWS Redshift, Google BigQuery, Delta Lake, or similar platforms.
  • Design models across raw, curated, and consumption layers, including bronze/silver/gold or equivalent lakehouse patterns.
  • Review and optimize existing models for performance, scalability, usability, consistency, and maintainability.
  • Support data product design by defining domain-aligned entities, data contracts, reusable metrics, and governed consumption models.

Required Experience
  • Minimum 10 years of experience in data architecture, data modeling, data warehousing, business intelligence, enterprise analytics, or related areas.
  • Strong hands-on experience in conceptual, logical, physical, and semantic data modeling.
  • Deep understanding of dimensional modeling concepts including facts, dimensions, grain, slowly changing dimensions, conformed dimensions, hierarchies, and metric design.
  • Experience designing semantic layers or business consumption layers for enterprise reporting and self-service analytics.
  • Strong SQL skills with the ability to validate models against source data, business rules, and reporting requirements.
  • Experience with modern cloud data platforms such as Databricks, Snowflake, Azure, AWS, GCP, Microsoft Fabric, or similar.
  • Experience with BI and analytics tools such as Power BI, Tableau, Looker, Qlik, or similar.
  • Strong understanding of metadata management, data lineage, governance, data quality, master data, and reference data concepts.
  • Ability to engage with business stakeholders, data engineers, BI developers, product owners, and governance teams.
  • Strong documentation, communication, problem-solving, and architecture leadership skills.

Preferred Qualifications
  • Experience with semantic modeling tools or frameworks such as Power BI semantic models, AtScale, Looker, dbt Semantic Layer, Tableau semantic layer, or similar.
  • Experience with governance and catalog tools such as Collibra, Alation, Informatica, Microsoft Purview, Unity Catalog, or similar.
  • Experience with data mesh, data products, domain-driven architecture, and enterprise metric stores.
  • Exposure to graph modeling, business ontology, metadata-driven architecture, or knowledge graph concepts is a plus.
  • Experience supporting AI/ML or GenAI use cases through well-governed and analytics-ready data models is preferred.
  • Industry experience in healthcare, manufacturing, financial services, retail, supply chain, automotive, or logistics is a plus.

Key Deliverables
  • The Data Architect will be responsible for producing and maintaining:
  • Conceptual, logical, physical, and semantic data models
  • Dimensional models and subject-area models
  • Business metric and KPI definitions
  • Data dictionaries and data glossaries
  • Source-to-target mappings
  • Entity relationship diagrams
  • Data lineage and metadata documentation
  • Modeling standards and best practices
  • Data architecture design documents
  • Curated consumption-layer design patterns

Candidate Profile
The ideal candidate is a business-oriented data architect who can bridge the gap between business meaning and technical implementation. They should be able to lead modeling discussions, challenge unclear requirements, define reusable business entities, and create trusted data structures that support enterprise reporting, analytics, and modern data products.
This role is best suited for someone who has strong modeling depth, modern platform awareness, and the ability to create governed, scalable, and business-friendly data solutions.

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