Data Consultant Jobs in Texas
Data Consultant jobs in Texas are among the most active in the country, with strong demand concentrated in enterprise technology, financial services, energy, and healthcare sectors and openings at every level from junior analyst to principal consultant. Houston, Dallas, and Austin drive the largest share of hiring, anchored by established employers such as Deloitte, Accenture, and ExxonMobil, all of which maintain significant Texas operations. Cloud data architecture, analytics engineering, and business intelligence are the specialties most consistently in demand across the state. Find a role that fits below and apply directly.
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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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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 142+ Data Consultant Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Data Consultant JobsData Consultant Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Data Consultant Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Tata Consultancy Services (TCS)55
- NTT DATA22
- Boston Consulting13
- Alvarez & Marsal3
- EY3
Top Industries Hiring
- Technology & Software94
- Consulting & Professional Services44
- Accounting & Auditing7
- Investment & Asset Management4
- Energy3
What Texas Employers Look For
The qualifications that appear most often in data consultant jobs across Texas.
- Bachelor's degree in data science, computer science, statistics, or a related analytical field
- Proficiency in SQL and at least one major programming language such as Python or R
- Hands-on experience with business intelligence tools such as Tableau, Power BI, or Looker
- Demonstrated ability to translate complex data findings into clear business recommendations
- Experience working with cloud data platforms such as AWS, Azure, or Google Cloud
- Strong project management and client-facing communication skills in a consulting environment
Data Consultant Jobs in Texas: Frequently Asked Questions
How do you become a data consultant in Texas?
Data consulting in Texas does not require a state-issued license, so the path runs through education and credentials. Most employers expect a bachelor's degree in data science, computer science, statistics, or a related field. Earning recognized certifications such as Google Professional Data Engineer, Microsoft Azure Data Scientist, or Tableau Desktop Specialist strengthens a candidacy considerably. Texas employers, particularly those in energy and financial services, also value demonstrated project experience through a portfolio of analytical work.
How much do data consultants make in Texas?
Data consultants in Texas earn a median of about $122,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $64,540 for the lowest 10% to over $170,780 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data consultants in Texas?
Employers hiring data consultants in Texas right now include Tata Consultancy Services (TCS), NTT DATA, and Boston Consulting, based on current listings on Migrate Mate as of June 2026. Texas's concentration of Fortune 500 headquarters, major energy firms, and large healthcare systems means consistent demand from both consultancies and in-house analytics teams.
Which Texas cities have the most data consultant jobs?
Dallas, Plano, and Irving have the most data consultant openings in Texas. Dallas and Houston lead because of their density of financial services firms, energy companies, and large consulting offices, while Austin's fast-growing technology and startup sector has made it an increasingly competitive market for analytical roles.
Are there remote data consultant jobs in Texas?
Yes, and more than most fields. About 23% of data consultant openings tied to Texas are remote or hybrid as of June 2026, reflecting how central desk-based analytical and advisory work is to the role. Strategy and analytics deliverable work tends to be the most remote-friendly, while roles requiring on-site client workshops or embedded team integration more often require in-person presence.
How can I get hired as a data consultant in Texas with little or no experience?
The most realistic entry path is through an analyst or associate consultant role at a large Texas-based consulting firm or enterprise employer. Deloitte, Accenture, and KPMG all run structured analyst programs in their Texas offices that are open to recent graduates. Lateral entry from adjacent roles such as business analyst, data analyst, or reporting specialist is also common. Building a project portfolio and earning an entry-level cloud certification from Google or Microsoft gives candidates a meaningful edge when competing for these roles.
Where can I find and apply to data consultant jobs in Texas?
You can find and apply to data consultant jobs in Texas on Migrate Mate, which lists current Texas openings across industries and experience levels. Find the roles that fit your background and apply directly to the ones that match.
See All 142+ Data Consultant Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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