Principal Consultant, Data & AI (Remote US)

Atmosera

United States3h ago

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Key details

Location: United States
Work style: Remote
Level: Lead / Staff+
Job type: Full-time
Experience: 10–13 yrs
Function: Operations & Strategy
Focus area: other
Posted: 3h ago

Skills

azureazure devopsci/cdcopilot studiodatabricksdevopsgithublakehousemicrosoft fabricpower bipysparkpythonsolution architecturesparksql

About the role

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 operational agility. As a Microsoft Partner with nine specializations, GitHub AI Partner of the Year, a member of the GitHub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA), Atmosera expertly delivers cutting-edge, integrated solutions that deliver business value.

This role reports to the Director of Professional Services and is part of the Professional Services team. The team partners closely with Sales, Solution Architects and Professional Services delivery peers to deliver diverse, high value solutions to customers.

Your Impact

You are joining us to serve as a deep subject-matter expert who generates and promotes new delivery approaches and methodologies, operating with near-complete autonomy and, at the top of this band, holding the firm's highest individual-contributor technical authority.

Your day-to-day will involve leading the firm's most technically complex Microsoft technology engagements and serving as the ultimate technical escalation for the practice, owning pre-sales technical authority for the firm's largest and most strategically significant opportunities, defining technical standards and mentoring Sr Consultants, progressing to setting architecture decisions and methodology frameworks across the entire practice, all aimed at strengthening Atmosera's technical reputation and delivery capability well beyond your own engagements, as a trusted advisor to leadership, customers, and the industry.

What Success Looks Like

We measure success by results and alignment. Here is how we define a "win" for this role over your first year:

After 90 Days

The Foundation: Take ownership of technical authority on at least one of the firm's most complex active engagements.

The Integration: Build a working advisory relationship with the Director and Manager, and begin contributing input on capability gaps or emerging technology opportunities.

The Contribution: Lead a pre-sales technical scoping effort or executive-level solution presentation on a significant opportunity.

After 1 Year

Your Impact: Resolve the most complex and ambiguous technical problems across engagements, including those carrying the highest delivery risk practice-wide.

Your Growth: Sustain multiple Microsoft Expert/Specialty-level certifications at the leading edge of the practice; at the top of this band, build recognized Microsoft/industry subject-matter-authority standing (speaking, publishing, or community leadership) in your specialization.

Your Influence: Directly shape practice strategy, capability investment, or offering development recommendations that the Director acts on.

The Skill Matrix

Required Skills (The Non-Negotiables)

10+ years of experience in technical consulting, collaborating with sales, solution architecture, and delivery.

Certification Requirement (at entry): Microsoft Expert or Specialty-level certification required in your primary specialization; active engagement with the Microsoft partner ecosystem.

Role-Specific Mastery - Extensive delivery experience on enterprise Microsoft technology engagements with deep expertise in a primary specialization, progressing to industry-recognized expertise at the top of this band.

Tech includes: Microsoft Fabric (Lakehouse/Warehouse, pipelines, notebooks, OneLake), Power BI (semantic modeling, DAX, governance and capacity), SQL, Python/PySpark, Databricks, Azure DevOps/GitHub CI/CD for data, and Azure data services, Microsoft Foundry, Copilot Studio.