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Snowflake Data Architect

1 month ago

London, Greater London, United Kingdom Sotheby's Full time

Sotheby's Data Team is driving business growth through data-driven insights. We are seeking a talented leader to accelerate our efforts to empower the organization. This role will work closely with Engineering, Product, Operations, and Research teams to build systems of intelligence that support product development and uncover business opportunities from data.

Key Responsibilities

  • Define the technical data architecture and strategy for our Data Engineering and Business Intelligence teams.
  • Design, develop, and deploy data warehouse solutions that support the objectives of internal stakeholders.
  • Create blueprints for data management systems to integrate, protect, and maintain data systems by understanding the intricacies of Sotheby's data.
  • Drive initiatives focused on data preparation, integration, and exploration.
  • Collaborate with Product, Data Science, Marketing, and Engineering teams to create a roadmap for teams supporting stakeholder needs in alignment with our priorities and OKRs.
  • Partner closely with leadership and business stakeholders as a trusted and influential evangelist to identify important questions, define key metrics, and cultivate a data-driven decision-making culture.
  • Design and implement analytics solutions that enable consistency and scalability with cross-functional teams.
  • Own business metrics for the business, while monitoring changes in KPIs that impact business performance.

Ideal Experience and Competencies

  • Degree in business, computer science, statistics, applied mathematics, or other quantitative field.
  • 3+ years of experience as a data architect.
  • Deep knowledge of data models, experimental design, and execution.
  • Understanding of Snowflake modeling best practices and query optimization.
  • 5+ years of experience providing business insight support for the executive team.
  • Focus on data-driven decision making and learning by experimentation.
  • Experience leading complex technical projects with engineer partners.
  • Experience in both internal and external storytelling and executive presentations.
  • Expertise with analytics tools, data visualization, SQL, R, or Python.
  • Practical experience with Data Warehouse technologies specifically Snowflake and dbt.
  • Strong expertise with Excel, BI tools, and ERP systems.
  • Strong ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders.