Data Architect Jobs in Texas
Data Architect jobs in Texas are among the most active in the country, concentrated in energy, financial services, healthcare, and technology, with demand at every level from associate data architect through principal and chief data officer. The largest hiring markets are Dallas-Fort Worth, Houston, and Austin, where employers like AT&T, ExxonMobil, and Dell Technologies maintain major operations and consistently recruit data architects. Cloud platform expertise, data governance, and experience with modern lakehouse and warehouse architectures are the specialties drawing the most attention from Texas hiring teams. Find a role that fits below and apply directly.
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Showing 5 of 214+ Data Architect jobs
Position Summary
CG Infinity is seeking a strategic and hands-on Enterprise Data Architect to design, build, and lead the implementation of a scalable, enterprise-wide data Lakehouse. This role will be responsible for developing a modern data architecture from the ground up, integrating multiple systems and business units into a unified data ecosystem that drives analytics, reporting, and business decision-making. The ideal candidate combines deep technical expertise with strong business acumen, capable of leading discovery efforts, defining priorities, and ensuring data solutions are aligned with organizational goals. This individual will also play a key leadership role in establishing data governance, master data management (MDM), and enterprise data standards.
Key Responsibilities
Enterprise Data Architecture & Strategy
- Design and implement a scalable, secure, and high-performance enterprise data Lakehouse from inception
- Define the end-to-end data architecture, including data ingestion, transformation, storage, integration, and consumption layers
- Establish architectural standards, frameworks, and best practices aligned with business and technology strategies
- Evaluate and recommend technologies (cloud platforms, ETL/ELT tools, data lakes, Lakehouses) to support long-term scalability
Cross-Functional Discovery & Requirements Alignment
- Lead discovery sessions with business and technical stakeholders to identify high-value use cases, priorities, and dependencies
- Translate business requirements into technical data models, data flows, and architecture designs
- Ensure alignment between data solutions and business objectives, including KPIs, reporting, and analytics needs
- Develop and maintain a data roadmap with clearly defined phases, milestones, and deliverables
Data Lakehouse Development & Delivery
- Oversee development of integrated data pipelines that connect disparate systems (ERP, CRM, operational systems, third-party platforms)
- Define and implement data models (conceptual, logical, physical) to support analytics and reporting
- Establish data quality frameworks and ensure reliability, consistency, and integrity of enterprise data
- Ensure performance optimization and scalability of the data environment
Data Governance & Master Data Management
- Develop and implement enterprise data governance policies, standards, and controls
- Lead Master Data Management (MDM) initiatives to standardize key business entities across systems
- Define data ownership, stewardship, and accountability models across business units
- Ensure compliance with regulatory, security, and data privacy requirements
Leadership & Stakeholder Engagement
- Act as a trusted advisor to executive leadership, including the CTO and business leaders
- Communicate complex technical concepts clearly to non-technical stakeholders
- Lead cross-functional teams, including data engineers, analysts, and business users
- Drive adoption of data solutions across the organization through change management and stakeholder alignment
Required Qualifications
- 8+ years of experience in data architecture, data engineering, or enterprise data management roles
- Proven experience building an enterprise data Lakehouse from scratch spanning multiple systems and business units
- Strong experience with data modeling, ETL/ELT design, and data integration frameworks
- Hands-on experience with cloud data platforms (e.g., Azure, AWS, or GCP)
- Demonstrated expertise in:
- Data Governance frameworks
- Master Data Management (MDM)
- Data quality and metadata management
- Experience leading discovery sessions and requirements gathering workshops with senior stakeholders
- Strong understanding of enterprise systems (ERP, CRM, operational apps) and integration patterns
- Excellent communication, facilitation, and leadership skills
Preferred Qualifications
- Experience in consulting environments or multi-client, multi-business unit organizations
- Industry experience in oil & gas or chemical sectors, with an understanding of upstream, midstream, downstream, or refining operations.
- Familiarity with modern data tools (e.g., Snowflake, Databricks, Azure Synapse, Power BI, Tableau)
- Experience implementing data lakes, Lakehouse architectures, or hybrid data ecosystems
- Knowledge of Agile and iterative delivery methodologies
- Relevant certifications (e.g., Azure Data Architect, AWS Data Analytics, DAMA CDMP)
Success Metrics
- Successful delivery of a fully operational enterprise data Lakehouse aligned with business priorities
- Measurable improvement in data accessibility, quality, and reporting capabilities
- Adoption of data governance and MDM practices across business units
- Delivery of a clear project roadmap with defined milestones, timelines, and outcomes
- Positive stakeholder feedback on alignment between business needs and technical solutions
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Position Summary
CG Infinity is seeking a strategic and hands-on Enterprise Data Architect to design, build, and lead the implementation of a scalable, enterprise-wide data Lakehouse. This role will be responsible for developing a modern data architecture from the ground up, integrating multiple systems and business units into a unified data ecosystem that drives analytics, reporting, and business decision-making. The ideal candidate combines deep technical expertise with strong business acumen, capable of leading discovery efforts, defining priorities, and ensuring data solutions are aligned with organizational goals. This individual will also play a key leadership role in establishing data governance, master data management (MDM), and enterprise data standards.
Key Responsibilities
Enterprise Data Architecture & Strategy
- Design and implement a scalable, secure, and high-performance enterprise data Lakehouse from inception
- Define the end-to-end data architecture, including data ingestion, transformation, storage, integration, and consumption layers
- Establish architectural standards, frameworks, and best practices aligned with business and technology strategies
- Evaluate and recommend technologies (cloud platforms, ETL/ELT tools, data lakes, Lakehouses) to support long-term scalability
Cross-Functional Discovery & Requirements Alignment
- Lead discovery sessions with business and technical stakeholders to identify high-value use cases, priorities, and dependencies
- Translate business requirements into technical data models, data flows, and architecture designs
- Ensure alignment between data solutions and business objectives, including KPIs, reporting, and analytics needs
- Develop and maintain a data roadmap with clearly defined phases, milestones, and deliverables
Data Lakehouse Development & Delivery
- Oversee development of integrated data pipelines that connect disparate systems (ERP, CRM, operational systems, third-party platforms)
- Define and implement data models (conceptual, logical, physical) to support analytics and reporting
- Establish data quality frameworks and ensure reliability, consistency, and integrity of enterprise data
- Ensure performance optimization and scalability of the data environment
Data Governance & Master Data Management
- Develop and implement enterprise data governance policies, standards, and controls
- Lead Master Data Management (MDM) initiatives to standardize key business entities across systems
- Define data ownership, stewardship, and accountability models across business units
- Ensure compliance with regulatory, security, and data privacy requirements
Leadership & Stakeholder Engagement
- Act as a trusted advisor to executive leadership, including the CTO and business leaders
- Communicate complex technical concepts clearly to non-technical stakeholders
- Lead cross-functional teams, including data engineers, analysts, and business users
- Drive adoption of data solutions across the organization through change management and stakeholder alignment
Required Qualifications
- 8+ years of experience in data architecture, data engineering, or enterprise data management roles
- Proven experience building an enterprise data Lakehouse from scratch spanning multiple systems and business units
- Strong experience with data modeling, ETL/ELT design, and data integration frameworks
- Hands-on experience with cloud data platforms (e.g., Azure, AWS, or GCP)
- Demonstrated expertise in:
- Data Governance frameworks
- Master Data Management (MDM)
- Data quality and metadata management
- Experience leading discovery sessions and requirements gathering workshops with senior stakeholders
- Strong understanding of enterprise systems (ERP, CRM, operational apps) and integration patterns
- Excellent communication, facilitation, and leadership skills
Preferred Qualifications
- Experience in consulting environments or multi-client, multi-business unit organizations
- Industry experience in oil & gas or chemical sectors, with an understanding of upstream, midstream, downstream, or refining operations.
- Familiarity with modern data tools (e.g., Snowflake, Databricks, Azure Synapse, Power BI, Tableau)
- Experience implementing data lakes, Lakehouse architectures, or hybrid data ecosystems
- Knowledge of Agile and iterative delivery methodologies
- Relevant certifications (e.g., Azure Data Architect, AWS Data Analytics, DAMA CDMP)
Success Metrics
- Successful delivery of a fully operational enterprise data Lakehouse aligned with business priorities
- Measurable improvement in data accessibility, quality, and reporting capabilities
- Adoption of data governance and MDM practices across business units
- Delivery of a clear project roadmap with defined milestones, timelines, and outcomes
- Positive stakeholder feedback on alignment between business needs and technical solutions
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See All 214+ Data Architect Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Data Architect JobsData Architect Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Data Architect Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- NTT DATA15
- Apple11
- Bain & Company11
- NVIDIA11
- Boston Consulting9
Top Industries Hiring
- Technology & Software93
- Consulting & Professional Services44
- Electronics & Hardware14
- Healthcare & Medical Services9
- Banking & Financial Services8
What Texas Employers Look For
The qualifications that appear most often in data architect jobs across Texas.
- Bachelor's or master's degree in computer science, information systems, or a related field
- Proven experience designing and implementing enterprise data models and pipelines
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud
- Strong command of SQL and at least one scripting language such as Python or Scala
- Experience with data governance frameworks, data quality tools, and metadata management
- Relevant certifications such as AWS Certified Data Analytics or Microsoft Certified Azure Data Engineer
Data Architect Jobs in Texas: Frequently Asked Questions
How do you become a data architect in Texas?
Data architect is not a state-licensed profession in Texas, so there is no board exam or state registration required to work in the role. Most Texas employers expect a bachelor's degree in computer science, information systems, or a closely related field, with a master's preferred for senior roles. Candidates build toward the position by working in data engineering or database administration, then earning vendor credentials such as AWS Certified Data Analytics or Microsoft Certified Azure Data Engineer to demonstrate platform expertise.
Which companies hire data architects in Texas?
Employers hiring data architects in Texas right now include NTT DATA, Apple, and Bain & Company, based on current listings on Migrate Mate as of June 2026. Texas's concentration of large energy companies, financial institutions, and healthcare systems means demand for data architects cuts across multiple industries rather than clustering in a single sector.
Which Texas cities have the most data architect jobs?
Austin, Dallas, and Houston account for the largest share of data architect openings in Texas. Dallas-Fort Worth leads because of its dense concentration of corporate headquarters in finance, technology, and telecommunications, while Houston's energy sector and Austin's fast-growing tech industry generate consistent demand, and any smaller cities on the list typically reflect a single large employer or regional data center anchoring those openings.
Are there remote data architect jobs in Texas?
Yes, and more than most fields. Data architecture is largely a desk-based, analytical discipline, which makes it well suited to remote and hybrid arrangements. About 25% of data architect openings tied to Texas are remote or hybrid as of June 2026, reflecting how broadly companies have embraced flexible work for roles that do not require on-site infrastructure access. Strategy, modeling, and governance work tends to be the most remote-friendly, while hands-on implementation tied to on-premises systems more often requires some in-office presence.
How can I get hired as a data architect in Texas with little or no experience?
The most realistic entry path is moving laterally from a data engineering or database administrator role into architecture responsibilities over time. Large Texas employers in healthcare and financial services, including major hospital systems in the Texas Medical Center and regional banks headquartered in Dallas, often post associate or junior data engineer positions that serve as a direct pipeline into architecture work. Building a portfolio of data models, completing a cloud certification such as AWS Certified Cloud Practitioner, and targeting companies with formal rotational technology programs gives candidates without direct architecture experience a concrete edge.
Where can I find and apply to data architect jobs in Texas?
You can find and apply to data architect jobs in Texas on Migrate Mate, which lists current openings from employers hiring in the state right now. Search the listings, find roles that match your background and target location, and apply directly to the ones that fit.
See All 214+ Data Architect Jobs in Texas
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