Enterprise Data Architect Jobs in Texas
Enterprise Data Architect jobs in Texas are among the most actively sought senior technology roles in the state, concentrated in financial services, energy, healthcare, and large-scale retail operations, with openings from mid-level data engineers moving up through chief architect. Houston, Dallas, and Austin lead hiring volume, where employers like ExxonMobil, AT&T, and Dell Technologies maintain deep enterprise data practices. Cloud platform integration, data governance frameworks, and real-time analytics architecture are the specialties Texas employers prioritize most consistently. Find a role that fits below and apply directly.
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Showing 5 of 8+ Enterprise 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 8 Enterprise Data Architect Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find JobsEnterprise Data Architect Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Enterprise Data Architect Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- CG Infinity1
- Capgemini1
- HP1
- Hewlett Packard Enterprise | HPE1
- NTT DATA1
Top Industries Hiring
- Technology & Software7
- Consulting & Professional Services1
- Electronics & Hardware1
What Texas Employers Look For
The qualifications that appear most often in enterprise data architect jobs across Texas.
- Bachelor's or master's degree in computer science, information systems, or a related field
- Proficiency in cloud data platforms such as Azure, AWS, or Google Cloud
- Experience designing enterprise-scale data models, pipelines, and governance frameworks
- Hands-on background with data warehousing tools like Snowflake, Databricks, or Teradata
- Familiarity with Texas-regulated industries including energy, financial services, or healthcare compliance
- Strong communication skills to align data strategy with business stakeholders across large organizations
Enterprise Data Architect Jobs in Texas: Frequently Asked Questions
How do you become an enterprise data architect in Texas?
Most enterprise data architects in Texas enter the field through a computer science, information systems, or engineering degree, then build toward the role through senior data engineering or analytics positions. Texas has no state-issued license for this role, but certifications from major cloud providers like AWS, Microsoft Azure, or Google Cloud carry significant weight with Texas employers. Large Texas technology, energy, and healthcare employers typically look for candidates who have led data platform projects before considering them for architect-level responsibility.
How much do enterprise data architects make in Texas?
Enterprise data architects in Texas earn a median of about $151,370 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $92,890 for the lowest 10% to over $200,390 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire enterprise data architects in Texas?
Employers hiring enterprise data architects in Texas right now include CG Infinity, Capgemini, and HP, based on current listings on Migrate Mate as of June 2026. Texas's concentration of Fortune 500 headquarters in Dallas and Houston, along with a growing technology sector in Austin, means demand for this role is distributed across multiple major metro areas.
Which Texas cities have the most enterprise data architect jobs?
Spring, Dallas, and Frisco account for the largest share of enterprise data architect openings in Texas. Dallas leads because of its dense concentration of financial services firms, technology companies, and corporate headquarters, while Houston's energy and healthcare sectors generate consistent demand, and Austin's rapidly expanding technology industry has made it a growing source of architect-level data roles.
Are there remote enterprise data architect jobs in Texas?
Yes, and more than most fields. About 38% of enterprise data architect openings tied to Texas are remote or hybrid as of June 2026, reflecting how well the role's planning, design, and stakeholder work translates to distributed environments. The portions of the job most suited to full remote are data strategy development, architecture documentation, and cross-functional alignment, while hands-on platform migration or vendor evaluation may still require on-site presence.
How can I get hired as an enterprise data architect in Texas with little or no experience?
The most realistic entry path is through a data engineering or business intelligence analyst role at a large Texas employer, then building toward architecture responsibility over time. Healthcare systems like Texas Health Resources, energy companies like Chevron Phillips Chemical, and financial institutions headquartered in Dallas frequently hire junior data engineers and analytics developers who can grow into senior and architect tracks. A cloud certification from AWS or Azure, combined with a portfolio demonstrating data modeling or pipeline design work, gives candidates without formal architect titles a concrete credential to present.
Where can I find and apply to enterprise data architect jobs in Texas?
You can find and apply to enterprise data architect jobs in Texas on Migrate Mate, which lists current Texas openings. Find roles that fit your experience and apply directly to the ones that match.
See All 8 Enterprise Data Architect Jobs in Texas
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