Microsoft Fabric Data Architect

Job Title Responsibilities Own the design and implementation of Microsoft Fabric architectures to support sophisticated analytics and data processing requirements Be responsible for the development and optimization of MS Fabric Job Definitions to ensure efficient data processing and transformation. Design the OneLake to handle and integrate diverse data sources into a unified data platform. Develop and maintain SQL queries and scripts to support data extraction transformation and loading processes. Apply PySpark to build scalable data pipelines and perform complex data transformations. Collaborate with multi-functional teams to understand business requirements and translate them into technical solutions. Ensure data quality and integrity by implementing robust data validation and cleansing processes. Monitor and fix data processing workflows to ensure optimal performance and reliability. Mentor and guide junior team members in standard methodologies for data architecture and engineering. Provide technical leadership in the domain of Healthcare and Health Plan domains demonstrating domain knowledge to enhance data solutions. Contribute to the development of data governance policies and procedures to ensure compliance with regulatory requirements. Communicate effectively with stakeholders to present technical solutions and gather feedback Requirements 12+ years of experience in implementing large data and analytics platforms 5+ years of experience architecting and building data platforms on Azure Hands-on experience with cloud data platforms such as Azure Synapse Analytics, Azure Databricks, or Microsoft Fabric. Ability to architect, implement, and optimize data workflows and pipelines on these platforms. In-depth understanding of data engineering principles, data architecture, and data management practices. Proficiency in designing and implementing scalable data solutions. Exhibit strong to expert skills in PySpark for building scalable data pipelines Demonstrate proficiency in developing and optimizing Spark job definitions Have in-depth knowledge of OneLake for data integration and management Show expertise in writing and optimizing SQL queries and scripts Understanding of data modelling, data mappings, understand the data model changes and propose the best practices and guidelines Experience in Healthcare or Health Plans is a plus Strong problem-solving skills and attention to detail Kasmo Global