
51 - 200 employees
Founded 2018
💼 Consulting
🤖 Artificial Intelligence
🏢 Enterprise
Consulting • Artificial Intelligence • Enterprise
Spyglass MTG, LLC is a certified Microsoft-focused consulting firm that helps organizations select, architect, implement, migrate to, and manage Microsoft technologies. Their offerings emphasize AI (Agentic AI, AI Navigator, Copilot), data platforms (including Microsoft Fabric LOOM), data governance, security and identity/access management, cloud solutions, infrastructure operations, app modernization, and migrations, plus Microsoft licensing services. Spyglass serves enterprise clients across sectors such as higher education, financial services, healthcare, legal, manufacturing, and oil & gas, and highlights rapid AI deployment, repeat customers, and Copilot/Power Platform enablement.
📡 We watch Spyglass MTG, LLC.'s careers page
Several times a day
how often we check
1
roles posted in the last 30 days
About 34 days
usual time to fill a role
5
roles closed in the last year
Selected: 🆕 Date Added.
🕒 Yesterday
Azure architect designing AI, data, and infrastructure solutions for Spyglass MTG’s Microsoft-focused consulting clients. Developing proofs of concept and reusable Azure technical offerings.
🦌 Connecticut, Maine, +3 more states – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 Solutions Engineer
👻 Ghost score 12%
🕒 October 2
Microsoft Purview and security architect leading remote assessments, implementations, and governance engagements. Advising clients on data protection, identity, compliance, Copilot, and enterprise AI security.
🇺🇸 United States – Remote
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
👮♂️ Cybersecurity / Security Engineer
👻 Ghost score 12%
🕒 September 22
Cloud program manager leading AWS data lake and warehouse modernization. Coordinating cross-functional delivery, governance, and migration across regulated enterprise environments.
🕒 September 22
Lead Data Engineer modernizing higher-education data platforms using Microsoft Fabric, PySpark, and medallion architecture. Mentoring developers and building scalable, near-real-time data solutions.
🕒 March 10
Lead Data Engineer designing and implementing data platforms using Databricks and Microsoft Fabric. Collaborating with teams to deliver high-performance data solutions.