Texas General Land Office
GLO - Data Analytics Engineering Manager (Manager VII)
Texas General Land Office, Austin, Texas, us, 78716
GLO - Data Analytics Engineering Manager (Manager VII)
– Texas General Land Office
We are seeking a Data Analytics Engineering Manager within the Information Technology Services Department to lead the development and modernization of the agency’s enterprise data platforms. This role combines technical expertise with strategic direction, overseeing data pipelines, architecture, and analytics environments to ensure high‑quality, reliable data for reporting, operational insights, and emerging AI capabilities.
About the Department The Information Technology Services (ITS) team advances the mission of the Texas General Land Office through technology. ITS delivers secure, reliable, and innovative solutions that enable the agency to serve Texans efficiently and transparently. It 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 hands‑on leadership position involves working closely with engineering, operations, product, and security teams to drive 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.
Contributions
Technical and Analytical Leadership – oversee the development and application of analytical, visualization, and AI tools.
Data Architecture and Platform Engineering – lead design, development, and maintenance of enterprise data architecture, including data modeling, warehousing, lakehouse platforms, and supporting infrastructure.
Data Integration, Quality, and Interoperability – direct scalable data pipelines and data integration processes; ensure data quality through automated validation, cleansing, and enrichment workflows.
Strategic Alignment and Value Creation – collaborate with agency leadership to define and advance data and AI strategies that support mission outcomes.
Cloud Data Modernization and Infrastructure – guide modernization efforts by architecting cloud‑based data environments and hybrid infrastructures.
Team Leadership and Talent Development – mentor and develop a multidisciplinary team of data engineers, analysts, and AI developers.
Qualifications Minimum Qualifications
Bachelor’s degree in computer science, information systems, computer engineering, or a related field, or equivalent professional experience.
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 disciplines.
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 Databricks.
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.
Strong communication and stakeholder engagement skills.
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 APIs, and automation for analytics environments.
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 Primarily sedentary office work; routine mobility around the worksite may be required. Extensive computer, telephone, and client/customer contact. Ability to move and transport records and materials up to 20 pounds.
Compensation and Benefits
Free Parking
Defined Retirement Benefit Plan, Optional 401(k) and 457 accounts
Medical Insurance – State pays 100% of health plan premiums for eligible full‑time employees; 50% for eligible dependents. Part‑time employees pay 50%; dependents pay 25%.
Optional benefits: dental, vision, life insurance
Minimum of 96+ hours of annual leave; increases with length of service
Professional development opportunities through LinkedIn Learning and EAP provider
Veterans Use your military skills to qualify for this position or other jobs. Translate military experience to civilian terms at
www.texasskillstowork.com . Compare this position to related military occupations at the Texas State Auditor's Office via the provided link.
How to Apply
Complete a State of Texas Application for Employment and apply online at
www.workintexas.com
or in the CAPPS Career Section.
Applications may be submitted through either platform; using both is unnecessary.
Provide a detailed job history, including job titles, employment dates, employer names, supervisor contacts, and responsibility summaries. Incomplete applications may lead to disqualification.
Resumes will not be accepted in place of a completed application.
All hires will verify identity and eligibility to work in the U.S. and complete the required employment eligibility verification upon hire.
Position designated as security sensitive per Texas Labor Code, Section 301.042.
Applicants must be authorized to work for any employer in the U.S. Visa sponsorship is not provided.
Seniority Level
Director
Employment Type
Full‑time
Job Function
Engineering and Information Technology
Industries
Government Administration
#J-18808-Ljbffr
– Texas General Land Office
We are seeking a Data Analytics Engineering Manager within the Information Technology Services Department to lead the development and modernization of the agency’s enterprise data platforms. This role combines technical expertise with strategic direction, overseeing data pipelines, architecture, and analytics environments to ensure high‑quality, reliable data for reporting, operational insights, and emerging AI capabilities.
About the Department The Information Technology Services (ITS) team advances the mission of the Texas General Land Office through technology. ITS delivers secure, reliable, and innovative solutions that enable the agency to serve Texans efficiently and transparently. It 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 hands‑on leadership position involves working closely with engineering, operations, product, and security teams to drive 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.
Contributions
Technical and Analytical Leadership – oversee the development and application of analytical, visualization, and AI tools.
Data Architecture and Platform Engineering – lead design, development, and maintenance of enterprise data architecture, including data modeling, warehousing, lakehouse platforms, and supporting infrastructure.
Data Integration, Quality, and Interoperability – direct scalable data pipelines and data integration processes; ensure data quality through automated validation, cleansing, and enrichment workflows.
Strategic Alignment and Value Creation – collaborate with agency leadership to define and advance data and AI strategies that support mission outcomes.
Cloud Data Modernization and Infrastructure – guide modernization efforts by architecting cloud‑based data environments and hybrid infrastructures.
Team Leadership and Talent Development – mentor and develop a multidisciplinary team of data engineers, analysts, and AI developers.
Qualifications Minimum Qualifications
Bachelor’s degree in computer science, information systems, computer engineering, or a related field, or equivalent professional experience.
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 disciplines.
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 Databricks.
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.
Strong communication and stakeholder engagement skills.
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 APIs, and automation for analytics environments.
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 Primarily sedentary office work; routine mobility around the worksite may be required. Extensive computer, telephone, and client/customer contact. Ability to move and transport records and materials up to 20 pounds.
Compensation and Benefits
Free Parking
Defined Retirement Benefit Plan, Optional 401(k) and 457 accounts
Medical Insurance – State pays 100% of health plan premiums for eligible full‑time employees; 50% for eligible dependents. Part‑time employees pay 50%; dependents pay 25%.
Optional benefits: dental, vision, life insurance
Minimum of 96+ hours of annual leave; increases with length of service
Professional development opportunities through LinkedIn Learning and EAP provider
Veterans Use your military skills to qualify for this position or other jobs. Translate military experience to civilian terms at
www.texasskillstowork.com . Compare this position to related military occupations at the Texas State Auditor's Office via the provided link.
How to Apply
Complete a State of Texas Application for Employment and apply online at
www.workintexas.com
or in the CAPPS Career Section.
Applications may be submitted through either platform; using both is unnecessary.
Provide a detailed job history, including job titles, employment dates, employer names, supervisor contacts, and responsibility summaries. Incomplete applications may lead to disqualification.
Resumes will not be accepted in place of a completed application.
All hires will verify identity and eligibility to work in the U.S. and complete the required employment eligibility verification upon hire.
Position designated as security sensitive per Texas Labor Code, Section 301.042.
Applicants must be authorized to work for any employer in the U.S. Visa sponsorship is not provided.
Seniority Level
Director
Employment Type
Full‑time
Job Function
Engineering and Information Technology
Industries
Government Administration
#J-18808-Ljbffr