Microsoft Fabric Data Architect - Kasmo Inc

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