Atmosera
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
- 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)
- 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
- 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
Client Delivery (Primary)
Proof of Value (PoV) engagements
Solution Architecture & Engineering
Consulting & Client Engagement
Required Skills & Experience
- 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
- 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
Core Technical Expertise
Consulting & Delivery
Professional Attributes
Preferred Qualifications
- Databricks (engineering and/or architecture experience)
- Power BI (modeling, semantic layer design, reporting integration)
- Azure Synapse Analytics (legacy or hybrid environments)
- DP-203: Azure Data Engineer Associate (or Fabric equivalent evolution)
- Microsoft Fabric Analytics Engineer certification
- Azure Solutions Architect Expert
Certifications Strongly Preferred
Originally posted on Himalayas
To apply for this job please visit himalayas.app.
Working in Costa Rica
Costa Rica, officially the Republic of Costa Rica, is a country in Central America. It borders Nicaragua to the north, the Caribbean Sea to the northeast, Panama to the southeast, and the Pacific Ocean to the southwest, sharing a maritime border with Ecuador to the south of Cocos Island. It has a population of around five million in a land area of nearly 51,180 km2 (19,760 sq mi); the capital and largest city is San José, home to around 350,000 residents and two million people in the surrounding metropolitan area.
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