Texas
About the Information Technology Services Department
The Information Technology Services (ITS) team advances the mission of the Texas General Land Office through technology. We deliver secure, reliable, and innovative solutions that enable the agency to serve Texans efficiently and transparently. ITS operates with a growth mindset, committed to sustainability, operational excellence, customer service, and safeguarding the agency’s information resources. By leveraging modern cloud, automation, and data technologies, ITS drives efficiency, innovation, and resilience across the enterprise.
About the Role The Data Analytics Engineering Manager leads the development and modernization of the agency’s enterprise data platforms. This role oversees data pipelines, architecture, and analytics environments to ensure high-quality, reliable data is available for reporting, operational insights, and emerging AI capabilities. The position plays a key part in advancing the agency’s data strategy by implementing scalable cloud and hybrid data solutions that support mission-critical work.
Working closely with engineering, operations, product, and security teams, this role drives improvements in data quality, integration, and automation across systems. The manager establishes engineering standards, enhances analytics tooling, and ensures data processes align with statewide technology and security requirements.
This is a hands‑on leadership position that combines technical expertise with strategic direction. The Data Analytics Engineering Manager helps shape how the agency uses data, ensuring dependable and scalable data services that empower employees, improve public service delivery, and strengthen the agency’s long‑term technology posture.
Our Mission: The Texas General Land Office primarily serves the schoolchildren, veterans, and the environment of Texas. The agency does so by preserving our history, maximizing state revenue through innovative administration, and through the prudent stewardship of state lands and natural resources.
What Your Contributions to the GLO Will be:
Technical and Analytical Leadership: Oversees the development and application of analytical, visualization, and AI tools to support data‑driven decision‑making. Provides hands‑on technical leadership to ensure analytical environments, AI capabilities, and self‑service data tools are reliable, accessible, and aligned with agency needs.
Data Architecture and Platform Engineering: Leads the design, development, and maintenance of enterprise data architecture, including data modeling, warehousing, lakehouse platforms, and supporting infrastructure. Ensures platforms are scalable, secure, and optimized for performance while supporting advanced analytics and interoperability.
Data Integration, Quality, and Interoperability: Directs the development and maintenance of scalable data pipelines and data integration processes that support efficient ingestion, transformation, and delivery. Ensures data quality through automated validation, cleansing, and enrichment workflows and oversees metadata, master data, and reference data governance to maintain consistency and trust in agency data assets.
Strategic Alignment and Value Creation: Collaborates with agency leadership to define and advance data and AI strategies that support mission outcomes, transparency, and operational efficiency. Identifies opportunities for analytics and AI to improve services and resource allocation and translates policy priorities into measurable performance metrics, dashboards, and decision‑support tools.
Cloud Data Modernization and Infrastructure: Guides modernization efforts by architecting and evolving cloud‑based data environments and hybrid infrastructures. Establishes cloud strategies for storage, processing, and analytics that align with performance, cost, and compliance requirements. Ensures data security, resilience, and disaster‑recovery capabilities across platforms.
Team Leadership and Talent Development: Leads, mentors, and develops a multidisciplinary team of data engineers, analysts, and AI developers. Sets performance expectations, fosters innovation, promotes cross‑functional collaboration, and manages hiring, onboarding, and professional development to build long‑term analytics and engineering capability within the agency.
Minimum Qualifications:
Bachelor’s degree from an accredited four‑year college or university with major coursework in computer science, information systems, computer engineering, or a related field.
Equivalent professional experience may substitute for the degree requirement at a rate of one year of relevant experience for each year of education.
A minimum of 7 years experience in data engineering, data management, cloud data and related discipline.
Location Requirements: This position is based in Austin, TX. Candidates must be currently located in the Austin area or willing to relocate at their own expense. Relocation assistance is not provided.
Physical Requirements: This position requires the employee to primarily perform sedentary office work; however, mobility (moving around the worksite) is routinely required to carry out some duties. This position requires extensive computer, telephone and client/customer contact and communication. It requires the ability to move and position oneself as needed for filing and similar routine office duties. The job also requires normal cognitive abilities requiring the ability to learn, recall, and apply certain practices and policies. It requires the stamina to maintain attention to detail despite interruptions. Ability to read printed materials and computer screens. The individual must be able to move and transport records, documents, boxes, and all related information and materials, weighing up to 20 pounds when required.
Preferred Qualifications:
Thought leadership and experience in modern data management and driving AI initiatives
Hands‑on experience with cloud‑based data platforms including Snowflake or Data bricks.
Strong understanding of ETL/ELT processes, API frameworks, data modeling, and data lakehouse architecture.
Skilled in designing and maintaining scalable, high‑performance data architectures in cloud or hybrid environments.
Familiarity with data governance, data cataloging, and metadata management tools.
Working knowledge of analytics and business intelligence tools such as SQL Server and Power BI.
Experience integrating analytics and visualization solutions into enterprise systems.
Proven ability to lead, mentor, and develop technical teams while fostering collaboration and innovation.
Strong communication and stakeholder engagement skills, ability to align technical solutions to organizational goals.
Demonstrated experience implementing data quality controls, validation frameworks, and governance standards.
Understanding of data privacy, security, and compliance requirements.
Experience with CI/CD pipelines, Data API and automation for analytics environments.
Knowledge, Skills and Abilities:
Deep understanding of modern data architectures, including data lakes, data warehouses, and ETL/ELT pipelines that support large‑scale analytics and decision‑making.
Knowledge of cloud data platforms and tools such as Snowflake or similar technologies.
Experience in data analytics and business intelligence platforms like Power BI, Tableau, or Looker, and how to integrate them into enterprise reporting ecosystems.
Familiarity with AI and machine learning concepts to guide teams in applying predictive analytics, automation, and data‑driven insights where appropriate.
Proficiency in data governance, metadata management, and compliance frameworks, including FISMA, NIST, FedRAMP, and Section 508 requirements.
Strong knowledge of programming languages such as Python, SQL, and R for data transformation, analysis, and automation.
Awareness of cybersecurity principles, secure data sharing, and identity and access management (IAM) best practices.
Understanding of government IT frameworks, operational constraints, and compliance‑driven project delivery.
Skilled in designing and implementing enterprise‑level data strategies that align with agency missions and operational priorities.
Good communication and presentation skills.
Proficient in building and optimizing data pipelines, ensuring reliability, scalability, and high data quality.
Strong analytical and problem‑solving skills, with the ability to break down complex systems into manageable, efficient components.
Skilled in risk identification and mitigation, anticipating potential data, infrastructure, and security challenges.
Experienced in leading cross‑functional teams of engineers, analysts, and data scientists, fostering collaboration and innovation.
Strong communication skills for translating technical concepts into actionable insights for executives, stakeholders, and non‑technical partners.
Capable of managing projects using Agile, Scrum, or hybrid methodologies to deliver data and analytics solutions on time and within scope.
Adept at evaluating emerging technologies, including AI and automation tools, for strategic value and integration into the agency’s data ecosystem.
Skilled in ensuring ethical and compliant use of data and analytics across projects.
Ability to solve complex technical challenges that impact mission‑critical operations through sound engineering judgment and innovation.
Ability to design scalable, secure, and efficient data systems that support long‑term growth and adaptability.
Ability to lead multidisciplinary teams, set technical direction, and mentor staff in analytics, data engineering, and responsible technology use.
Ability to collaborate across business, IT, and policy domains to deliver solutions that meet both operational and regulatory goals.
Ability to communicate effectively with technical and non‑technical audiences, ensuring transparency and shared understanding.
Ability to align data initiatives with the agency’s strategic mission, focusing on measurable outcomes and public value.
Ability to contribute to the agency’s future technology direction by assessing trends in data analytics, cloud infrastructure, and AI readiness.
Compensation and Benefits:
Free Parking
Defined Retirement Benefit Plan Optional 401(k) and 457 accounts
Medical Insurance – State pays 100% of the health plan premium for eligible full‑time employees and 50% of the premium for their eligible dependents. The State pays 50% of the eligible part‑time employees’ premium and 25% for eligible dependents.
Optional Benefits such as dental, vision, and life insurance.
Minimum of 96+ Hours of Annual Leave a year. Annual leave increases with length of service.
Professional Development Opportunities: The GLO offers numerous courses to help our employees grow using resources through LinkedIn Learning and our EAP provider.
Veterans: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor’s Office by pasting this link into your browser: Military Crosswalk for Occupational Category - Program Management.
How to Apply:
To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or in the CAPPS Career Section.
You may apply for the job directly through the CAPPS Career Section. It is not necessary to apply both through Work in Texas and the CAPPS Career Section.
Applications must be fully completed with a detailed job history, including job title, employment dates, employer name, supervisor’s name and phone number, and a summary of responsibilities. Incomplete applications may lead to disqualification. Please be aware that resumes will not be accepted in place of a completed application.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa.
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About the Role The Data Analytics Engineering Manager leads the development and modernization of the agency’s enterprise data platforms. This role oversees data pipelines, architecture, and analytics environments to ensure high-quality, reliable data is available for reporting, operational insights, and emerging AI capabilities. The position plays a key part in advancing the agency’s data strategy by implementing scalable cloud and hybrid data solutions that support mission-critical work.
Working closely with engineering, operations, product, and security teams, this role drives improvements in data quality, integration, and automation across systems. The manager establishes engineering standards, enhances analytics tooling, and ensures data processes align with statewide technology and security requirements.
This is a hands‑on leadership position that combines technical expertise with strategic direction. The Data Analytics Engineering Manager helps shape how the agency uses data, ensuring dependable and scalable data services that empower employees, improve public service delivery, and strengthen the agency’s long‑term technology posture.
Our Mission: The Texas General Land Office primarily serves the schoolchildren, veterans, and the environment of Texas. The agency does so by preserving our history, maximizing state revenue through innovative administration, and through the prudent stewardship of state lands and natural resources.
What Your Contributions to the GLO Will be:
Technical and Analytical Leadership: Oversees the development and application of analytical, visualization, and AI tools to support data‑driven decision‑making. Provides hands‑on technical leadership to ensure analytical environments, AI capabilities, and self‑service data tools are reliable, accessible, and aligned with agency needs.
Data Architecture and Platform Engineering: Leads the design, development, and maintenance of enterprise data architecture, including data modeling, warehousing, lakehouse platforms, and supporting infrastructure. Ensures platforms are scalable, secure, and optimized for performance while supporting advanced analytics and interoperability.
Data Integration, Quality, and Interoperability: Directs the development and maintenance of scalable data pipelines and data integration processes that support efficient ingestion, transformation, and delivery. Ensures data quality through automated validation, cleansing, and enrichment workflows and oversees metadata, master data, and reference data governance to maintain consistency and trust in agency data assets.
Strategic Alignment and Value Creation: Collaborates with agency leadership to define and advance data and AI strategies that support mission outcomes, transparency, and operational efficiency. Identifies opportunities for analytics and AI to improve services and resource allocation and translates policy priorities into measurable performance metrics, dashboards, and decision‑support tools.
Cloud Data Modernization and Infrastructure: Guides modernization efforts by architecting and evolving cloud‑based data environments and hybrid infrastructures. Establishes cloud strategies for storage, processing, and analytics that align with performance, cost, and compliance requirements. Ensures data security, resilience, and disaster‑recovery capabilities across platforms.
Team Leadership and Talent Development: Leads, mentors, and develops a multidisciplinary team of data engineers, analysts, and AI developers. Sets performance expectations, fosters innovation, promotes cross‑functional collaboration, and manages hiring, onboarding, and professional development to build long‑term analytics and engineering capability within the agency.
Minimum Qualifications:
Bachelor’s degree from an accredited four‑year college or university with major coursework in computer science, information systems, computer engineering, or a related field.
Equivalent professional experience may substitute for the degree requirement at a rate of one year of relevant experience for each year of education.
A minimum of 7 years experience in data engineering, data management, cloud data and related discipline.
Location Requirements: This position is based in Austin, TX. Candidates must be currently located in the Austin area or willing to relocate at their own expense. Relocation assistance is not provided.
Physical Requirements: This position requires the employee to primarily perform sedentary office work; however, mobility (moving around the worksite) is routinely required to carry out some duties. This position requires extensive computer, telephone and client/customer contact and communication. It requires the ability to move and position oneself as needed for filing and similar routine office duties. The job also requires normal cognitive abilities requiring the ability to learn, recall, and apply certain practices and policies. It requires the stamina to maintain attention to detail despite interruptions. Ability to read printed materials and computer screens. The individual must be able to move and transport records, documents, boxes, and all related information and materials, weighing up to 20 pounds when required.
Preferred Qualifications:
Thought leadership and experience in modern data management and driving AI initiatives
Hands‑on experience with cloud‑based data platforms including Snowflake or Data bricks.
Strong understanding of ETL/ELT processes, API frameworks, data modeling, and data lakehouse architecture.
Skilled in designing and maintaining scalable, high‑performance data architectures in cloud or hybrid environments.
Familiarity with data governance, data cataloging, and metadata management tools.
Working knowledge of analytics and business intelligence tools such as SQL Server and Power BI.
Experience integrating analytics and visualization solutions into enterprise systems.
Proven ability to lead, mentor, and develop technical teams while fostering collaboration and innovation.
Strong communication and stakeholder engagement skills, ability to align technical solutions to organizational goals.
Demonstrated experience implementing data quality controls, validation frameworks, and governance standards.
Understanding of data privacy, security, and compliance requirements.
Experience with CI/CD pipelines, Data API and automation for analytics environments.
Knowledge, Skills and Abilities:
Deep understanding of modern data architectures, including data lakes, data warehouses, and ETL/ELT pipelines that support large‑scale analytics and decision‑making.
Knowledge of cloud data platforms and tools such as Snowflake or similar technologies.
Experience in data analytics and business intelligence platforms like Power BI, Tableau, or Looker, and how to integrate them into enterprise reporting ecosystems.
Familiarity with AI and machine learning concepts to guide teams in applying predictive analytics, automation, and data‑driven insights where appropriate.
Proficiency in data governance, metadata management, and compliance frameworks, including FISMA, NIST, FedRAMP, and Section 508 requirements.
Strong knowledge of programming languages such as Python, SQL, and R for data transformation, analysis, and automation.
Awareness of cybersecurity principles, secure data sharing, and identity and access management (IAM) best practices.
Understanding of government IT frameworks, operational constraints, and compliance‑driven project delivery.
Skilled in designing and implementing enterprise‑level data strategies that align with agency missions and operational priorities.
Good communication and presentation skills.
Proficient in building and optimizing data pipelines, ensuring reliability, scalability, and high data quality.
Strong analytical and problem‑solving skills, with the ability to break down complex systems into manageable, efficient components.
Skilled in risk identification and mitigation, anticipating potential data, infrastructure, and security challenges.
Experienced in leading cross‑functional teams of engineers, analysts, and data scientists, fostering collaboration and innovation.
Strong communication skills for translating technical concepts into actionable insights for executives, stakeholders, and non‑technical partners.
Capable of managing projects using Agile, Scrum, or hybrid methodologies to deliver data and analytics solutions on time and within scope.
Adept at evaluating emerging technologies, including AI and automation tools, for strategic value and integration into the agency’s data ecosystem.
Skilled in ensuring ethical and compliant use of data and analytics across projects.
Ability to solve complex technical challenges that impact mission‑critical operations through sound engineering judgment and innovation.
Ability to design scalable, secure, and efficient data systems that support long‑term growth and adaptability.
Ability to lead multidisciplinary teams, set technical direction, and mentor staff in analytics, data engineering, and responsible technology use.
Ability to collaborate across business, IT, and policy domains to deliver solutions that meet both operational and regulatory goals.
Ability to communicate effectively with technical and non‑technical audiences, ensuring transparency and shared understanding.
Ability to align data initiatives with the agency’s strategic mission, focusing on measurable outcomes and public value.
Ability to contribute to the agency’s future technology direction by assessing trends in data analytics, cloud infrastructure, and AI readiness.
Compensation and Benefits:
Free Parking
Defined Retirement Benefit Plan Optional 401(k) and 457 accounts
Medical Insurance – State pays 100% of the health plan premium for eligible full‑time employees and 50% of the premium for their eligible dependents. The State pays 50% of the eligible part‑time employees’ premium and 25% for eligible dependents.
Optional Benefits such as dental, vision, and life insurance.
Minimum of 96+ Hours of Annual Leave a year. Annual leave increases with length of service.
Professional Development Opportunities: The GLO offers numerous courses to help our employees grow using resources through LinkedIn Learning and our EAP provider.
Veterans: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor’s Office by pasting this link into your browser: Military Crosswalk for Occupational Category - Program Management.
How to Apply:
To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or in the CAPPS Career Section.
You may apply for the job directly through the CAPPS Career Section. It is not necessary to apply both through Work in Texas and the CAPPS Career Section.
Applications must be fully completed with a detailed job history, including job title, employment dates, employer name, supervisor’s name and phone number, and a summary of responsibilities. Incomplete applications may lead to disqualification. Please be aware that resumes will not be accepted in place of a completed application.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa.
#J-18808-Ljbffr