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Senior Consultant, Data & AI; Microsoft Fabric LATAM

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94110, USA
Listing for: Remote
Full Time, Remote/Work from Home position Listed on 2026-11-09
Job specializations:
  • IT/Tech
    IT Consultant, Data Engineering, Cloud Computing: Infrastructure & Operations, Azure
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR

Job Description & How to Apply Below

Position: Senior Consultant, Data & AI (Microsoft Fabric) (Remote LATAM)

Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. Our exceptional experience across Applications, Data & AI, Dev Ops, Security, and the Microsoft Azure platform enables organizations to accelerate innovation, enhance security, and optimize operational agility. As a Microsoft Partner with seven specializations, Git Hub AI Partner of the Year, a member of the Git Hub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA), Atmosera expertly delivers cutting-edge, integrated solutions that deliver business value.

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.

Key Responsibilities
  • Client Delivery (Primary)

    • Independently lead and deliver billable client engagements (target: ~40 hrs/week)

    • Execute Atmosera delivery frameworks, including:

      • Data Workshops (visioning, requirements, stakeholder alignment)

      • Assessments & Blueprinting (current state analysis, target architecture, roadmap)

      • Fabric Foundations (platform setup, governance, baseline architecture)

  • Proof of Value (PoV) engagements

    • Production deployments and migrations

    • Design and implement scalable, secure, and performant data solutions in Microsoft Fabric

    • Own technical architecture decisions

    • Communicate effectively with technical and non-technical stakeholders

    • Identify risks, tradeoffs, and optimization opportunities during delivery

  • Solution Architecture & Engineering

    • Build and optimize data pipelines using Azure Data Factory and Fabric-native tooling

    • Develop and tune Spark-based workloads (batch and/or streaming)

    • Architect medallion/lakehouse patterns within Fabric

    • Implement data modeling, transformation, and orchestration strategies

    • Ensure alignment with Azure Well-Architected and data platform best practices

  • Consulting & Client Engagement

    • Facilitate workshops and guide clients through ambiguous problem spaces

    • Translate business requirements into technical solutions

    • Influence client decisions through structured recommendations

    • Maintain a high standard of professionalism and delivery quality

Required Skills & Experience
  • Core Technical Expertise

    • Deep expertise in Microsoft Fabric (end-to-end platform capabilities)

    • Strong experience with Azure Data Factory

    • Advanced proficiency in Apache Spark (PySpark/Scala preferred)

    • Experience designing modern data architectures (lakehouse, medallion, ELT/ETL patterns)

    • Strong understanding of Azure data services and ecosystem integration

  • Consulting & Delivery

    • Proven ability to independently deliver consulting engagements

    • Strong client-facing communication and facilitation skills

    • Experience leading workshops, assessments, and architecture design sessions

    • Ability to operate with minimal oversight after onboarding

  • Professional Attributes

    • Embodies Atmosera values:

      • Hungry – proactive, driven, continuously improving

      • Humble – collaborative, open to feedback, low ego

      • Mindful – thoughtful, intentional, and client-aware

    • High ownership mentality and accountability

    • Strong problem-solving and decision-making capability

Preferred Qualifications
  • Databricks (engineering and/or architecture experience)

  • Power BI (modeling, semantic layer design, reporting integration)

  • Azure Synapse Analytics…

Position Requirements

10+ Years work experience
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