Snowflake Data Architect (Basé à London)

Jobleads
Greater London
4 weeks ago
Applications closed

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Sotheby's Data Team is empowering the organization using deep insights that matter. We are seeking a talented and motivated leader to accelerate our efforts to drive trust, adoption, and democratization of insights. This role will work closely with Engineering, Product, Operations, and Research teams to build systems of intelligence empowering product development while uncovering business opportunities from data. A successful candidate will be both technically strong and business savvy while being able to provide great leadership and mentorship to this team and champion & adopt scalable workflows while streamlining processes.

RESPONSIBILITIES

  1. Define the technical data architecture and strategy for our Data Engineering and Business Intelligence teams.
  2. Design, develop, and deploy data warehouse solutions that support the objectives of internal stakeholders.
  3. Create blueprints for data management systems to integrate, protect, and maintain data systems by understanding intricacies of Sotheby’s data.
  4. Drive initiatives focused on data preparation, integration, and exploration.
  5. Collaborate with Product, Data Science, Marketing, and Engineering teams to create a roadmap for supporting stakeholder needs in alignment with our priorities and OKRs.
  6. 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.
  7. Design and implement analytics solutions that enable consistency & scalability with cross-functional teams.
  8. Own business metrics for the business, while monitoring changes in KPIs that impact business performance.
  9. Define, prioritize, deliver, and communicate metrics & analyses across the business, including senior executives.

IDEAL EXPERIENCE & COMPETENCIES

  1. Degree in business, computer science, statistics, applied mathematics or other quantitative field.
  2. 3+ years of experience as a data architect.
  3. Deep knowledge of data models, experimental design, and execution.
  4. Understanding of Snowflake modeling best practices and query optimization.
  5. 5+ years of experience providing business insight support for the executive team.
  6. Focus on data-driven decision making and learning by experimentation.
  7. Experience leading complex technical projects with engineer partners (engineers and data engineers).
  8. Experience in both internal and external storytelling and executive presentations.
  9. Expertise with analytics tools, data visualization, SQL, R, or Python.
  10. Practical experience with Data Warehouse technologies specifically Snowflake and dbt.
  11. Strong expertise with Excel, BI tools, and ERP systems (i.e., Tableau, SAP).
  12. Strong ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders.

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