Designs, develops, and delivers enterprise data solutions that enable trusted, scalable, and secure data products across the organization. Leads the creation and maintenance of solution architecture and technical design artifacts, including conceptual, logical, and physical data models, integration designs, data flows, interface specifications, and implementation roadmaps. Serves as a lead technical contributor within a SAFe Agile delivery team, collaborating with Product Management, Architecture, Engineering, Security, and business stakeholders to translate business capabilities and requirements into resilient data solutions. Leverages modern data platforms, cloud-native technologies, data engineering frameworks, and analytics ecosystems to design and implement data products, pipelines, and services that support operational, analytical, and AI-driven business outcomes. Applies DevSecOps principles, automation, and engineering best practices throughout the solution lifecycle, including source control, CI/CD, infrastructure as code, automated testing, observability, security controls, and production support. Utilizes AI-assisted development tools and practices to accelerate delivery, improve design quality, enhance documentation, automate routine engineering activities, and promote continuous improvement across the software and data development lifecycle. Establishes and supports data management standards, governance requirements, security controls, and quality practices to ensure solutions are scalable, compliant, maintainable, and aligned with enterprise architecture objectives.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed