Summary Rialto Capital is seeking a Lead Data Engineer to drive the development of scalable, high-performance data solutions. This leadership role requires deep technical expertise in modern data architectures, along with a strategic mindset to help evolve our enterprise data platform into a trusted, unified data lake house. The successful candidate will lead projects, mentor engineers, and collaborate cross-functionally to meet critical business needs. Key Responsibilities Strategic Data Architecture: Lead the design and implementation of data solutions aligned with the long-term vision of a centralized, enterprise-wide data lake house platform. Data Pipeline Design & Development: Architect and manage ELT pipelines using Azure technologies and Microsoft Fabric, ensuring seamless integration with existing systems and alignment with business requirements. Data Management & Optimization: Optimize data ingestion, storage, and transformation workflows in Fabric. Ensure scalable and performant solutions across structured and semi-structured data sets. Engineering Excellence: Develop robust, reusable data models and curated tables from diverse data sources. Ensure ingestion of third-party data meets data governance, lineage, and quality standards. Security & Integration: Collaborate with Information Security and Infrastructure teams to enforce data security policies and streamline data integration practices. Leadership & Mentorship: Guide and mentor junior data engineers. Foster a culture of innovation, collaboration, and technical excellence. Work with offshore teams to deliver business-critical solutions. Quality Assurance: Establish and enforce rigorous testing, validation, and monitoring processes to ensure the accuracy, reliability, and integrity of all data assets. Delivery & Prioritization: Lead the prioritization and execution of business-driven data initiatives, including executive reporting needs and ad hoc requests. Innovation & Continuous Improvement: Stay current with emerging data technologies. Contribute to the evolution of the enterprise data strategy and roadmap. Specifications * Bachelor's required or Master's degree preferred in Computer Science, Data Science, Engineering, or a related field. * 5+ years of hands-on experience in data engineering, with a strong track record in designing and delivering large-scale data solutions. * Expertise in Python/PySpark for data processing and transformation. * Proficiency in SQL, NoSQL databases, and data warehouse solutions. * Strong experience with Azure data services, especially Data Factory and Microsoft Fabric. * Proficiency in cloud platforms (Azure, AWS, GCP) and their integration with Fabric. * Deep understanding of data modeling, data warehousing, and data architecture optimization. * Experience with CI/CD practices and tools such as Azure DevOps. * Prior experience in a data solution architect role is a strong plus. * Strong analytical and problem-solving abilities with excellent communication and leadership skills. Working Conditions While performing the duties of this job, the Associate is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop. The Associate must occasionally lift and/or move up to 25 pounds. Evening and/or weekend work may be necessary to meet deadlines. This description outlines the basic tasks and requirements for the position noted. It is not a comprehensive listing of all job duties. Rialto Capital is committed to the principles of Equal Employment Opportunity. Our policy is to provide equal employment opportunity to all applicants and Associates without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age (40+), disability, veteran status, genetic information (including family medical history), or any other legally protected status. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit: e-verify.gov.