Principal Architect, Data & AI

SHI International

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$200,000–$250,000 / yr
Posted
30 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k
This role $225k
$147k most similar roles pay here $277k

This role pays more than 64% of similar roles. Most pay $173,200–$253,250 — the shaded band above. At the midpoint, this role pays about $225k versus about $213k for comparable roles.

Based on 239 similar postings.

Employer

About SHI International

SHI International is a global IT solutions provider and Value-Added Reseller (VAR) that helps corporate, enterprise, and public sector customers manage, procure, and secure hardware, software, and cloud services.

SHI International currently has 48 open roles on FindRole.

Listed pay typically runs $125,000–$200,000 across 47 roles with salary data.

Most-posted roles

View all roles at SHI International

At a glance

TL;DR · Principal Architect, Data & AI

Principal Architect - Data & AI The Principal Architect works across data engineering, data visualization, data governance, and AI to orchestrate unified technical approaches on large, multi-disciplinary engagements. This role balances delivery leadership with practice maturation by establishing standards, accelerators, and engineering practices informed by DORA capabilities. The individual will manage project sequencing, identify risks, and coach others on consulting judgment while integrating various disciplines into coherent plans. Key responsibilities include building scalable infrastructure for the team, improving scoping accuracy, and implementing AI-accelerated delivery patterns to enhance consistency. Technical requirements include proficiency in the Microsoft ecosystem, including Microsoft Fabric, Azure data services, Power BI, Microsoft Purview, Copilot Studio, or Microsoft Foundry. The role solves complex problems by translating vague business needs into structured technical solutions while ensuring high standards of quality across diverse consulting workstreams and professional service engagements.

What does a Architect earn?

Median $235750 from 31 postings across 17 companies.

See salary data

What you'll do

  • Orchestrate a unified technical delivery approach across data engineering, visualization, governance, and AI for large multi-disciplinary projects.
  • Define and implement practice standards, including reusable accelerators, engineering practices, and evaluation rubrics to ensure consistent delivery.
  • Identify and mitigate project risks regarding quality, consistency, and technical alignment across multiple workstreams.
  • Integrate AI tools and agentic patterns into the consulting workflow to improve speed and quality of deliverables.
  • Coach architects and consultants on delivery methodology, consulting judgment, and complex technical decision-making.
  • Translate vague business requests into structured technical requirements and clear project scopes for presales and delivery teams.
  • Develop and maintain internal training pathways and competency models to scale the organization's data and AI capabilities.
  • Lead executive discovery sessions and architecture reviews to drive consensus among stakeholders with conflicting priorities.

What we're looking for

  • Bachelor’s degree in a related technical field or equivalent professional experience.
  • Ten or more years delivering enterprise data or AI solutions, including substantial consulting or professional services experience.
  • Expert-level depth in one of data engineering, data visualization, or data governance, with working proficiency in at least two others.
  • Demonstrated experience taking a practice capability from assessment through to an adopted standard.
  • Experience leading technical delivery across more than one discipline simultaneously on large or complex engagements.
  • Applied experience using AI to change how a delivery team works.
  • Hands-on delivery experience within the Microsoft data and AI ecosystem, including Fabric, Azure, Power BI, Purview, Copilot Studio, or Foundry.
  • Excellent facilitation, presentation, and stakeholder management skills for executive audiences.
  • Experience supporting presales through scoping, effort modeling, technical approach, and SOW input (preferred).
  • Familiarity with DORA capabilities and their application to data and analytics delivery (preferred).
  • Experience supporting regulated industry or public sector clients (preferred).
  • Relevant Microsoft certifications such as PL-300, DP-600, DP-700, DP-750, GH-300, GH-600, or AI-901 (preferred).

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