Enterprise-scale technical experience and depth with one or more areas of the Azure Analytics ecosystem (Power BI, Microsoft Fabric, Azure Synapse analytics, Azure Analysis Services, Azure Databricks, Azure Data Lake, Azure data factory) (required) + Hands-on experience with data warehousing, big data, analytics workloads (Azure or equivalent) and semantic model development with knowledge of key differentiation to determine best fit for use cases and applications + Knowledge of Business Intelligence and design and build of Advanced Analytics and Big Data solutions + Knowledge and understanding of all pillars of Data & AI - Data (RDBMS, NoSQL), Analytics, and AI/ML + Experience with design and creation of technical assets, such as solution accelerators, GitHub repositories + Hands on experience creating analytics-based solutions for customers??that lead to production deployments, and optimization of those deployments + Experience with DAX, T-SQL, PowerShell, C# (in the context of PBI/AS programming), Python (preferable) + Familiarity with Devops, IaC, DataOps for analytics workloads(preferred) + Familiarity with Agentic AI application in analytics workloads(preferred) + Breadth of technical experience and knowledge (preferred): + Product architecture, solution optimization + Enterprise governance and related processes + Product deployment and user adoption + Application development skills, scripting, deployment automation + Experience working with structured and unstructured data in Big Data scenarios using technologies such as Synapse, Snowflake, Big Query, Redshift, Databricks, Fabric and data lake concepts + Database architecture + Production level expertise, preferably in a services or product engineering role + Competitive Landscape: Knowledge of data platforms such as? **Additional or Preferred Qualifications?** + Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.