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Principal Platform Architect

The LaSalle Network

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Arlington, TX · Posted November 11, 2026

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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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