Senior Consultant, Data & AI; Microsoft Fabric LATAM
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IT/Tech
IT Consultant, Data Engineering, Cloud Computing: Infrastructure & Operations, Azure
Job Description & How to Apply Below
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 ResponsibilitiesClient 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
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
Databricks (engineering and/or architecture experience)
Power BI (modeling, semantic layer design, reporting integration)
Azure Synapse Analytics…
Position Requirements
10+ Years work experience(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).