ABOUT SOTHEBY'S
Established in 1744, Sotheby’s is the world’s premier destination for art and luxury. Sotheby’s promotes access to and ownership of exceptional art and luxury objects through auctions and buy-now channels including private sales, e-commerce and retail. Our trusted global marketplace is supported by an industry-leading technology platform and a network of specialists spanning 40 countries and 70 categories which include Contemporary Art, Modern and Impressionist Art, Old Masters, Chinese Works of Art, Jewelry, Watches, Wine and Spirits, and Design, as well as collectible cars and real estate. Sotheby’s believes in the transformative power of art and culture and is committed to making our industries more inclusive, sustainable and collaborative.
THE ROLE
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
- Define the technical data architecture and strategy for our Data Engineering and Business Intelligence teams.
- Working hands on, side by side with other data engineers to implement robust solutions
- 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 intricacies of Sotheby’s data.
- Drive initiatives focused on data preparation, integration, and exploration.
- Develop and Implement Data governance best practices and data security policies.
- Architect data ingestion pipelines including monitoring and quality tests
- Design and implement analytics solutions that enable consistency & scalability with cross-functional teams.
- Own business metrics for the business, while monitoring changes in KPIs that impact business performance
- Define, prioritize, deliver and communicate metrics & analyses across the business, including senior executives
IDEAL EXPERIENCE & COMPETENCIES
- Degree in business, computer science, statistics, applied mathematics or other quantitative field
- 6+ years of experience as a data Engineer
- Deep knowledge of data models, experimental design, and execution
- Understanding of Snowflake architecture, cost management, and optimization
- Software experience, specifically APIs, development cycle, integrations
- Expertise with python, SQL, HTML
- Experience leading complex technical projects with engineer partners (engineers and data engineers)
- Experience with AWS tools, specifically RDS, Lambdas, s3
- Practical experience with Data Warehouse technologies specifically Snowflake, dbt, and Fivetran
- Snowflake Infrastructure expertise with role management, Snowpark admin, Streamlit, etc
- Strong experience with Tableau administration and ERP systems (SAP)
- Strong ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders
To view our Candidate Privacy Notice for the US, please click here .
To view our Candidate Privacy Notice for the UK, Hong Kong, France and Switzerland, please click here .
The Company is an equal opportunity employer and considers all applicants for employment without regard to race (including, without limitation, traits historically associated with race, such as natural hair, hair texture, and protective and treated or untreated hairstyles), color, creed, religion, sex, sexual orientation, marital or civil partnership/union status, national origin, age, disability, pregnancy, genetic predisposition, genetic information, reproductive health decision, sexual orientation, gender identity or expression, alienage or citizenship status, domestic violence victim status, military or veteran status, or any other characteristic protected by federal, state/province or local law. The Company complies with applicable state and local laws prohibiting discrimination in employment in every jurisdiction in which it operates.
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