Solution Architect – Data EngineeringWe are seeking an experienced Solution Architect with strong Data Engineering expertise. The ideal candidate will have deep technical proficiency across Java, Python, AWS, and modern data platforms, coupled with solid client management and team leadership skills. A strong understanding of the mortgage industry, solution design, and security architecture patterns is essential for success in this role.Key responsibilities include:Leading the design and implementation of data-driven solutions aligned with Freddie Mac's business and technology strategy.Defining end-to-end solution architectures integrating application, data, and cloud components.Collaborating with business stakeholders, product owners, and technical teams to translate business needs into scalable architectural solutions.Ensuring architecture adherence to security, compliance, and governance standards.Architecting and optimizing data pipelines and data integration workflows using Python, PySpark, and related tools.Providing architectural guidance for microservices-based systems built on Java and Spring Boot.Driving cloud-native solution development leveraging AWS services (e.g., S3, Lambda, Glue, Redshift).Managing and mentoring development and data engineering teams; promoting architectural best practices.Partnering with Freddie Mac leadership to ensure architectural alignment with enterprise direction.Required skills and experience include:10+ years of overall IT experience, with 5+ years in a Solution Architect role.Strong background in the Mortgage or Financial Services industry.Hands-on experience with:Java, Spring Boot (for microservices and application design)Python, PySpark (for data processing and analytics)PostgreSQL, MongoDB (for relational and NoSQL data management)AWS Cloud Platform (for cloud architecture, data pipelines, and infrastructure services)Strong understanding of Solution Architecture and Security Architecture principles and patterns.Expertise in microservice-based architecture and data architecture patterns (e.g., data lake, data mesh, event-driven design).Proven ability to lead technical teams and manage client relationships effectively.Preferred qualifications include:AWS Certified Solutions Architect or equivalent certification.Experience with CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC).Exposure to data governance, metadata management, and data quality frameworks.Strong communication and presentation skills for both technical and executive audiences.Soft skills include:Strong leadership and stakeholder management.Excellent analytical and problem-solving abilities.Collaborative and proactive attitude with a client-first mindset.