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 seven 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.

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 (legacy or hybrid environments)

Certifications Strongly Preferred

DP-203: Azure Data Engineer Associate (or Fabric equivalent evolution)

Microsoft Fabric Analytics Engineer certification

Azure Solutions Architect Expert

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 (legacy or hybrid environments)

Certifications Strongly Preferred

DP-203: Azure Data Engineer Associate (or Fabric equivalent evolution)

Microsoft Fabric Analytics Engineer certification

Azure Solutions Architect Expert

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