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Learning Architect Jobs in Texas (NOW HIRING)

Data Architect

Spring, TX

$58.75 - $75.50/hr

The Data Architect defines and evolves platform capabilities that support analytics, data engineering, machine learning operations (MLOps), and emerging AI-driven use cases, ensuring solutions are ...

The Learning Architect (LA) is a platform-specific learning professional responsible for designing and maintaining training that serve an entire manufacturing platform. Located at platform sites or ...

Solution Architect

Plano, TX · On-site

$60.25 - $79.50/hr

AI Integration: Architect and implement AI solutions using Azure Machine Learning, Azure OpenAI Service, and Azure Cognitive Services. * Cloud Infrastructure: Oversee cloud infrastructure ...

... Learning. Architect solutions for performance, security, and scale applying sound patterns for authentication/authorization, caching, messaging, and resilient service-to-service communication. Own CI ...

The Architect, with some supervision from the Manager of Architecture, directs the development of ... Provide mentorship and embrace opportunities for learning with less experienced staff throughout ...

... Machine Learning. * Architect solutions for performance, security, and scale applying sound patterns for authentication/authorization, caching, messaging, and resilient service-to-service ...

Solutions Architect

Plano, TX · On-site

$70 - $90/hr

Mobile technologies, OCPP protocol and Machine Learning Modeling is a plus * Excellent Communication is required Responsibilities * As a Solutions Architect you will design, develop and propose ...

Showing results 41-60

Learning Architect information

See Texas salary details

$43.3K

$120K

$187.7K

How much do learning architect jobs pay per year?

As of Aug 7, 2026, the average yearly pay for learning architect in Texas is $119,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $154,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by learning architects in their day-to-day work?

Learning Architects often navigate challenges such as aligning training solutions with diverse business objectives while accommodating varying learning styles and technological capabilities of the audience. They may need to manage tight deadlines, balance multiple projects, and collaborate with subject matter experts, stakeholders, and technical teams to ensure content accuracy and engagement. Adapting to new e-learning trends and integrating emerging technologies can also be demanding yet rewarding. Overcoming these challenges helps Learning Architects deliver impactful, effective educational experiences that drive organizational performance.

What does a learning architect do?

A Learning Architect designs and develops strategic learning experiences, frameworks, and instructional systems to support organizational or educational goals. They integrate technology, pedagogy, and user experience principles to create effective and scalable learning solutions. Their role often involves collaborating with subject matter experts, instructional designers, and technology teams to ensure content is engaging, accessible, and aligned with business or educational objectives.

What are the key skills and qualifications needed to thrive as a learning architect?

To thrive as a Learning Architect, you need expertise in instructional design, curriculum development, and a solid understanding of adult learning principles, typically supported by a degree in education, instructional design, or a related field. Familiarity with learning management systems (LMS), authoring tools like Articulate Storyline or Adobe Captivate, and industry certifications such as CPLP or ATD are highly valued. Strong collaboration, project management, and communication skills set candidates apart in this role. These skills are crucial for designing effective, scalable learning solutions that meet organizational goals and engage diverse learner populations.

What are the most commonly searched types of Learning Architect jobs in Texas? The most popular types of Learning Architect jobs in Texas are:
What cities in Texas are hiring for Learning Architect jobs? Cities in Texas with the most Learning Architect job openings:
Infographic showing various Learning Architect job openings in Texas as of August 2026, with employment types broken down into 74% Full Time, 8% Part Time, and 18% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $119,956 per year, or $57.7 per hour.

$58.75 - $75.50/hr

Full-time

Posted 22 days ago


Job description

Our core values - Stewardship, Character, Collaborate, Learn, Disrupt - are the lens through which we evaluate every business decision. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expand's performance among our E&P competitors.

We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply. If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger.

Job Summary

This advisor-level role is responsible for advancing the architecture, scalability, and maturity of the enterprise data platform within the Enterprise Data and Analytics team.

The Data Architect defines and evolves platform capabilities that support analytics, data engineering, machine learning operations (MLOps), and emerging AI-driven use cases, ensuring solutions are scalable, reliable, and aligned with business needs.

This role partners with cross-functional teams to establish standards, patterns, and platform capabilities that enable efficient delivery of data products, machine learning models, and advanced analytics solutions across the organization.

Job Duties & Responsibilities

Data Platform Architecture

  • Define and evolve data platform architecture, ensuring scalability, reliability, and long-term sustainability
  • Establish standards and best practices for data modeling, data pipelines, and platform usage
  • Drive maturity across data platform capabilities, including ingestion, transformation, serving, and governance

MLOps Enablement

  • Lead design and implementation of MLOps capabilities, including model deployment, monitoring, and lifecycle management
  • Establish reusable patterns and frameworks supporting machine learning and data product delivery
  • Support teams in operationalizing machine learning solutions at scale

Emerging Capabilities & Platform Evolution

  • Evaluate and enable platform capabilities to support evolving AI and advanced analytics use cases
  • Ensure the platform can support new workloads and architectural patterns while maintaining stability and performance
  • Recommend tools, technologies, and process improvements to enhance delivery and platform effectiveness

Collaboration & Technical Leadership

  • Partner with business stakeholders and technical teams to define and deliver scalable solutions
  • Provide architectural guidance across multiple teams to ensure consistency and alignment
  • Promote best practices in software engineering, DevOps, and SDLC processes
Job Specific Skills
  • Strong proficiency in Python with experience building and operating production data or ML systems
  • Strong proficiency in SQL and experience with distributed data processing frameworks
  • Expertise in data architecture, data modeling, and data platform design
  • Experience designing and supporting MLOps environments, including pipeline automation, deployment, and monitoring
  • Strong software engineering fundamentals, including object-oriented design, unit testing, exception handling, and use of common design patterns.
  • Expertise in data modeling, data warehousing, and ETL/ELT processes supporting analytics and machine learning cases.
  • Hands-on experience with cloud-based data platforms and architectures, including Snowflake and Databricks.
  • Strong knowledge of CI/CD, DevOps, and release management practices used to deploy and operate production data and machine learning solutions.
  • Strong knowledge of SDLC processes, including Agile methodologies.
  • Ability to define and implement standards, patterns, and reusable frameworks
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Education

Minimum: High school diploma or GED

Preferred: Bachelor's degree in Information Systems, Computer Science, or related field

Experience

Minimum: 8 years related work experience

Preferred: Related work experience in data engineering, software engineering, or data architecture

Expand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law.

Expand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States.