Principal Platform Architect (2605589)

LaSalle Intelligent Solutions

Arlington (TX)

On-site

USD 180,000 - 200,000

Full time

23 hours ago
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Job summary

LaSalle Network seeks an experienced Principal Enterprise Architect to shape the technical direction of enterprise data, AI, software, and digital platforms. This hands-on role will establish architectural standards, guide major technology decisions, and create reusable designs that engineering teams can implement at scale.

The ideal candidate translates business strategy into practical architecture, simplifies complex environments, and balances innovation with security, performance,

Qualifications

  • 10+ years in enterprise architecture or related roles.
  • Experience designing enterprise-scale architectures across data, software, integration, AI, and hybrid infrastructure.
  • Strong cloud, security, identity, networking, APIs, containers, data platforms, and observability.
  • Familiarity with AI and machine-learning platforms, resilient-system design, and cost management.
  • Experience establishing architecture standards, governance processes, and reusable patterns.
  • Ability to evaluate technology options based on risk, performance, cost, and maintainability.
  • Ability to move between executive-level strategy discussions and detailed technical-design sessions.
  • Strong communication, collaboration, and stakeholder-management skills.

Responsibilities

  • Define enterprise architecture standards, reference designs, and reusable technical patterns.
  • Develop future-state architectures across data, AI, software, integration, cloud, and on-premises environments.
  • Lead architectural decisions involving scalability, performance, security, interoperability, resilience, and cost.
  • Evaluate build-versus-buy decisions, hosting models, platform dependencies, and vendor risks.
  • Lead architecture reviews for major platforms, applications, integrations, and technology selections.
  • Translate enterprise priorities into technical designs that engineering teams can implement.
  • Partner directly with engineering teams to move architecture from concept into production.
  • Collaborate with security, infrastructure, data, software, AI, governance, and business stakeholders.
  • Promote consistency across platforms while accommodating practical business requirements.
  • Evaluate emerging technologies and recommend solutions with clear business or technical value.
  • Develop prototypes and reference implementations for new platform capabilities.
  • Communicate architectural decisions, risks, and tradeoffs to executives and technical teams.
  • Maintain professional and ethical business practices.

Skills

Enterprise architecture
Cloud architecture
API design
Security
Data platforms
Observability
Stakeholder management
Leadership
Hybrid infrastructure

Education

Bachelor’s degree or equivalent
Experience-based equivalent

Job description

  • Compensation: $180,000 - $200,000 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 Enterprise Architect to shape the technical direction of enterprise data, AI, software, and digital platforms. This hands-on role will establish architectural standards, guide major technology decisions, and create reusable designs that engineering teams can implement at scale.

The ideal candidate can translate business strategy into practical architecture, simplify complex environments, and balance innovation with security, performance, flexibility, cost, and long-term maintainability.

Key Responsibilities
  • Define enterprise architecture standards, reference designs, and reusable technical patterns
  • Develop future-state architectures across data, AI, software, integration, cloud, and on-premises environments
  • Lead architectural decisions involving scalability, performance, security, interoperability, resilience, and cost
  • Evaluate build-versus-buy decisions, hosting models, platform dependencies, and vendor risks
  • Lead architecture reviews for major platforms, applications, integrations, and technology selections
  • Translate enterprise priorities into technical designs that engineering teams can implement
  • Partner directly with engineering teams to move architecture from concept into production
  • Collaborate with security, infrastructure, data, software, AI, governance, and business stakeholders
  • Promote consistency across platforms while accommodating practical business requirements
  • Evaluate emerging technologies and recommend solutions with clear business or technical value
  • Develop prototypes and reference implementations for new platform capabilities
  • Communicate architectural decisions, risks, and tradeoffs to 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 enterprise-scale architectures across data, software, integration, AI, and hybrid infrastructure
  • Strong understanding of cloud architecture, security, identity, networking, APIs, containers, data platforms, and observability
  • Familiarity with AI and machine-learning platforms, resilient-system design, and technology cost management
  • Experience establishing architecture standards, governance processes, and reusable engineering patterns
  • Ability to evaluate technology options based on risk, performance, scalability, cost, and maintainability
  • Ability to move between executive-level strategy discussions and detailed technical-design sessions
  • Strong communication, collaboration, and stakeholder-management 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, hosted, or on-premises AI infrastructure
  • Experience with model-serving platforms, AI gateways, and flexible provider-integration approaches
  • Knowledge of API architecture, orchestration, open data standards, semantic models, and data contracts
  • Understanding of hybrid-cloud design, platform operations, and usage-based cost structures
  • Experience working in a large, complex, or distributed organization
  • Experience building new platforms, products, or technical capabilities from the ground up

LaSalle Network is an Equal Opportunity Employer m/f/d/v.

LaSalle Network offers temporary Field Employees benefit plans including medical, dental and vision coverage.

Family Medical Leave, Worker's Compensation, Paid Leave and Sick Leave are also provided.

All assignments are at-will and their duration is subject to change.

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