Principal Platform Architect
The LaSalle Network
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Arlington, TX · Posted November 11, 2026
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Where Arlington, TX ranks
Where Arlington, TX placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #2Cities with the most hybrid jobs in the Southwest23% · of 43
- #3Best cities for entry-level jobs that want AI skills in the Southwest11% · of 39
- #7Best college towns for junior jobs in the Southwest36% · of 32
- #7Best cities for AI-skill jobs in the Southwest12% · of 44
- #9Best cities for junior jobs in Texas35% · of 31
- #9Cities hosting the most business conferences in the Southwest6 conferences · of 16
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
How AI is used in this kind of work
Among computer network architects, AI is already used for some of the tasks. Measured exposure for computer network architects: 20% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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Key Details
Compensation: $180,000 – $190,000 with potential Bonus
Location: Arlington, TX
Work Model: ONSITE 4 to 5 Days a week
Benefits: Are eligible to enroll in benefits, including medical, dental, and vision
Employment Type: Full-Time
Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis; our client will not sponsor applicants for work visas now or in the future
We are seeking an experienced Principal Platform Architect to shape the technical foundation for enterprise data, AI, software, and digital platforms. This is a hands-on architecture role responsible for establishing technical standards, guiding major technology decisions, and creating reusable patterns that engineering teams can implement at scale.
The ideal candidate can connect business strategy to technical execution, simplify complex environments, and balance innovation with security, scalability, cost, and long-term flexibility.
Key Responsibilities
Define and maintain enterprise architecture standards, reference designs, and reusable technical patterns
Develop target-state architectures across data, AI, software, integration, cloud, and on-premises environments
Lead architectural decisions involving scalability, security, performance, interoperability, resilience, cost, and operational complexity
Evaluate build-versus-buy decisions, deployment options, platform dependencies, and vendor risks
Lead architecture reviews for major platforms, products, integrations, and technology selections
Translate enterprise priorities into solutions that engineering teams can implement and support
Partner directly with engineering teams to move designs from concept into production
Collaborate with security, infrastructure, data, AI, software, governance, and business stakeholders
Promote consistency across platforms while allowing teams to meet practical business needs
Evaluate emerging technologies and recommend capabilities with clear technical or business value
Support pilot initiatives and help establish standards for successful solutions
Communicate architecture decisions and tradeoffs to both executives and technical teams
Maintain professional and ethical business practices
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent professional experience
10+ years of experience in enterprise architecture, platform engineering, software engineering, data engineering, cloud engineering, or a related discipline
Experience designing large-scale architectures across data, software, integration, AI, and hybrid infrastructure
Strong understanding of cloud architecture, security, identity, networking, APIs, data platforms, containers, and observability
Familiarity with AI and machine-learning platforms, reliability practices, cost management, and resilient system design
Experience establishing architecture standards and reusable engineering patterns
Ability to evaluate technical options based on cost, risk, performance, scalability, and long-term maintainability
Ability to move comfortably between executive-level discussions and detailed technical-design sessions
Strong communication, stakeholder-management, and relationship-building skills
Demonstrated ability to work independently, take ownership, and deliver results in a changing environment
Preferred Qualifications
Experience with enterprise cloud, data, AI, integration, and container platforms
Familiarity with private or on-premises AI infrastructure and model-serving approaches
Experience with API architecture, orchestration, open data standards, semantic models, and data contracts
Understanding of AI gateways, model routing, and flexible provider-integration patterns
Experience working in a large, complex, or distributed enterprise environment
Experience building new platforms, products, or technical capabilities from the ground up
Ready to take the next step in your career? Apply today. We’re actively interviewing and excited to meet you.
#LI-CW1
LaSalle Network is an Equal Opportunity Employer m/f/d/v.
LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Engineering, Marketing, Technology, Supply Chain, Revenue Cycle, Call Center, Human Resources and Executive Search, LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries.
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Compensation: $180,000 - $190,000 with potential Bonus
-
Location: Arlington, TX
-
Work Model: ONSITE 4 to 5 Days a week
-
Benefits: Are eligible to enroll in benefits, including medical, dental, and vision
-
Employment Type: Full-Time
-
Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis; our client will not sponsor applicants for work visas now or in the future
We are seeking an experienced Principal Platform Architect to shape the technical foundation for enterprise data, AI, software, and digital platforms. This is a hands-on architecture role responsible for establishing technical standards, guiding major technology decisions, and creating reusable patterns that engineering teams can implement at scale.
The ideal candidate can connect business strategy to technical execution, simplify complex environments, and balance innovation with security, scalability, cost, and long-term flexibility.
Key Responsibilities
-
Define and maintain enterprise architecture standards, reference designs, and reusable technical patterns
-
Develop target-state architectures across data, AI, software, integration, cloud, and on-premises environments
-
Lead architectural decisions involving scalability, security, performance, interoperability, resilience, cost, and operational complexity
-
Evaluate build-versus-buy decisions, deployment options, platform dependencies, and vendor risks
-
Lead architecture reviews for major platforms, products, integrations, and technology selections
-
Translate enterprise priorities into solutions that engineering teams can implement and support
-
Partner directly with engineering teams to move designs from concept into production
-
Collaborate with security, infrastructure, data, AI, software, governance, and business stakeholders
-
Promote consistency across platforms while allowing teams to meet practical business needs
-
Evaluate emerging technologies and recommend capabilities with clear technical or business value
-
Support pilot initiatives and help establish standards for successful solutions
-
Communicate architecture decisions and tradeoffs to both executives and technical teams
-
Maintain professional and ethical business practices
Required Qualifications
-
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent professional experience
-
10+ years of experience in enterprise architecture, platform engineering, software engineering, data engineering, cloud engineering, or a related discipline
-
Experience designing large-scale architectures across data, software, integration, AI, and hybrid infrastructure
-
Strong understanding of cloud architecture, security, identity, networking, APIs, data platforms, containers, and observability
-
Familiarity with AI and machine-learning platforms, reliability practices, cost management, and resilient system design
-
Experience establishing architecture standards and reusable engineering patterns
-
Ability to evaluate technical options based on cost, risk, performance, scalability, and long-term maintainability
-
Ability to move comfortably between executive-level discussions and detailed technical-design sessions
-
Strong communication, stakeholder-management, and relationship-building skills
-
Demonstrated ability to work independently, take ownership, and deliver results in a changing environment
Preferred Qualifications
-
Experience with enterprise cloud, data, AI, integration, and container platforms
-
Familiarity with private or on-premises AI infrastructure and model-serving approaches
-
Experience with API architecture, orchestration, open data standards, semantic models, and data contracts
-
Understanding of AI gateways, model routing, and flexible provider-integration patterns
-
Experience working in a large, complex, or distributed enterprise environment
-
Experience building new platforms, products, or technical capabilities from the ground up
Ready to take the next step in your career? Apply today. We're actively interviewing and excited to meet you.
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