atmosera - Senior Consultant - Data & AI (Microsoft Fabric) (Remote
Requirements
• 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 (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 • Leveling Context • Internal Title: Senior Consultant • Operates just below Principal Consultant
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 • Success Profile (What “Great” Looks Like) • Can take a client from ambiguous problem → structured approach → delivered solution without escalation • Delivers engagements that are reusable, referenceable, and high quality • Builds client trust quickly and sustains it through execution • Requires minimal intervention once aligned on scope and methodology • Elevates delivery standards through example • This is a contractor position in the United States with the ability to work from home but may require travel to a client site.
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