Senior Consultant, Data & AI (Microsoft Fabric) (Remote LATAM)
Quick Summary
Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. Our exceptional experience across Applications, Data & AI, DevOps, Security, and the Microsoft Azure platform enables organizations to accelerate innovation, enhance security, and optimize…
We are hiring a Senior Consultant to deliver end-to-end data and AI solutions within the Microsoft ecosystem, with a primary focus on Microsoft Fabric. This role is a senior individual contributor operating at an architect-adjacent level, responsible for independently leading client engagements from discovery through production deployment.
This individual will combine deep technical expertise with strong consulting acumen to deliver high-quality outcomes across workshops, assessments, platform implementations, and migrations. After onboarding into our delivery methodology, this role is expected to execute with minimal oversight.
Nice to Have
~1 min read- Internal Title: Senior Consultant
- Operates just below Principal Consultant
- Expected to function with architect-level autonomy in delivery, but without formal practice leadership responsibilities
- Success Profile (What “Great” Looks Like)
- Can take a client from ambiguous problem → structured approach → delivered solution without escalation
- Delivers engagements that are reusable, referenceable, and high quality
- Builds client trust quickly and sustains it through execution
- Requires minimal intervention once aligned on scope and methodology
- Elevates delivery standards through example
Location & Eligibility
About this job
- Who can apply
- LATAM
- Posted
- 192 days ago
Listing Details
- Posted
- April 6, 2026
- First seen
- April 7, 2026
- Last seen
- October 16, 2026
Posting Health
- Days active
- 191
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- October 16, 2026
Signal breakdown
Atmosera is a leading provider of cloud solutions and services that helps businesses migrate, manage, and optimize their workload in the cloud.
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