Senior Consultant - Data & AI (Microsoft Fabric)
LATAMFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- Microsoft Power BISparkScalaData modelingDatabricksPySpark
Requirements
- 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
- 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
- High ownership mentality and accountability
- Strong problem-solving and decision-making capability
- DP-203: Azure Data Engineer Associate (or Fabric equivalent evolution) certification strongly preferred
- Microsoft Fabric Analytics Engineer certification strongly preferred
- Azure Solutions Architect Expert certification strongly preferred
Responsibilities
- Independently lead and deliver billable client engagements (target: ~40 hrs/week)
- Execute Atmosera delivery frameworks, including Data Workshops, Assessments & Blueprinting, and Fabric Foundations
- 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
- 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
- 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
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