Build and maintain reliable data pipelines, transformations, data models, and supporting processes for business intelligence, reporting, analytics, and AI use cases. The role includes testing, deployment, code reviews, data-quality troubleshooting, documentation, and collaboration within agile cross-functional teams. Candidates should have strong SQL and Python skills, production pipeline experience, knowledge of data warehousing and data quality, cloud-platform familiarity, and understanding of CI/CD, version control, and testing practices.

Lead enterprise architecture consulting engagements by aligning technology strategy with business goals, developing architecture frameworks, capability models, operating models, and transformation roadmaps. Advise senior client stakeholders, support sales and proposals, govern solution delivery, mentor teams, and build internal architecture methodologies and offerings. The role spans business, data, application, technology, infrastructure, cloud, emerging technologies, security, and enterprise transformation.