Data Solutions Architect

Overview We are seeking a senior-level Data Solution Architect to design and implement scalable enterprise data architectures, modern data pipelines, and cloud-based data solutions. This role is responsible for assessing existing systems, defining target-state architectures, implementing data controls, and guiding development teams in delivering secure, scalable, and high-performing data platforms. The ideal candidate will have extensive experience with Azure, NoSQL technologies, enterprise data processing, and solution architecture. Key Responsibilities Design and implement enterprise data architectures that support business and technical objectives. Assess existing systems and recommend architectural improvements to enhance scalability, reliability, and performance. Design and develop reusable enterprise services and data processing solutions. Build and optimize cloud-based data pipelines and data processing architectures using Microsoft Azure. Design and implement data integration, transformation, and processing solutions across enterprise platforms. Define and implement data governance, data controls, and data flow strategies. Collaborate with development teams to ensure solutions align with architectural standards and best practices. Resolve complex technical issues related to enterprise data architecture and system integration. Evaluate emerging technologies and recommend improvements to existing platforms and processes. Assess the business impact of architectural decisions and provide technical recommendations to stakeholders. Provide technical leadership, mentorship, and architectural guidance to engineering teams. Communicate project status, architectural decisions, risks, timelines, and implementation strategies to business and technical stakeholders. Support enterprise modernization initiatives through scalable and reusable architecture designs. Required Qualifications Bachelor's degree in Computer Science or a related field, or equivalent professional experience. Minimum 10 years of experience in systems architecture and software development. Minimum 10 years of experience designing and developing reusable enterprise services. Proven experience designing enterprise software and data architectures. Strong experience building cloud-based data pipelines and data processing architectures using Microsoft Azure. Experience with NoSQL database technologies. Strong understanding of enterprise integration patterns and distributed systems. Strong knowledge of operating systems, relational databases, and NoSQL databases. Experience evaluating and improving enterprise system architectures. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication, leadership, and stakeholder management skills. Ability to lead technical discussions and mentor development teams. Preferred Qualifications Experience designing enterprise data warehouse architectures. Experience with Snowflake or Amazon Redshift. Experience implementing enterprise data governance and data control frameworks. #J-18808-Ljbffr