The Principal Architect works across data engineering, data visualization, data governance, and AI rather than within a single technical area. Alongside that delivery leadership, this role carries the practice maturation agenda: the delivery standards, accelerators, engineering practices, evaluation rubrics, and advisory frameworks that make delivery consistent and repeatable as the practice scales. Ten or moreyears deliveringenterprise data or AI solutions, including substantial experience in a consulting or professional services environment. Expert-level depth in one of data engineering, data visualization,ordata governance, with workingproficiencyin at least two of the others sufficient to lead delivery and evaluate technical decisions across them. Experience leading technical delivery across more than one discipline simultaneously on large or complex engagements.
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