Director, Data Engineering

ABOUT SOTHEBY'S

Established in 1744, Sotheby’s is the world’s premier destination for art and luxury. Synonymous with innovation, Sotheby’s promotes access, connoisseurship and preservation of fine art and rare objects through auctions, private sales and retail locations. Our trusted global marketplace is supported by a network of specialists spanning 40 countries and 50 categories, which include Contemporary Art, Modern and Impressionist Art, Old Masters, Chinese Works of Art, Jewelry, Watches, Wine and Spirits, and Interiors, among many others.

THE ROLE

We are in the process of revolutionizing a 276-year-old business. We’re looking for a talented Director of Data Engineering who can help reshape the future of Sotheby’s data platform through exceptional leadership, engineering practices, processes, and design. 

The ideal candidate will help us lead and grow our Data Engineering team, provide technical vision, lead product development and improve efficiency. We’re looking for team players who value opinions other than their own, look to data to support their decisions, take initiative and make things better. Ideal candidates are curious and eager to learn and are comfortable with ambiguity and a fast-paced, ever-changing environment.

Our team is distributed across multiple countries, and we require people that are strong communicators and can work in a diverse, multicultural remote environment.

RESPONSIBILITIES

• Be a key leader of the Data and Analytics team, working to propel the business towards being more data-driven.
• Collaborate with product owners, analysts, data scientists, researchers, and engineers to ingest, transform and store data continuously
• Help deliver on the data-driven product vision for reshaping a 300-year-old industry through building compelling modern marketplace and auction experiences.
• Building, optimizing, and maintaining internal and consumer-facing data pipelines that enable Sotheby's to process large datasets for Product, data scientists, and the business
• Oversee the hiring, training, and development of team members
• Transform existing data into strategic opportunities through analysis
• Ensure data solutions are robust, scalable, and efficient to meet the needs of the business

IDEAL EXPERIENCE & COMPETENCIES

• Eight years or more experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics.
• Five (3) years or more in people leadership in data engineering roles
• Depth of knowledge of Data Engineering practices, including Cloud data platforms, ingestion, publication / semantic layer, and orchestration
• Depth of knowledge of data management practices such as data governance, data catalog, data modeling, and/or MDM
• Working knowledge of Agile, CI/CD, and DevOps practices and tooling
• Proficient understanding of SQL language and report writing
• Experience with Cloud data and ingestion technologies from providers such as Microsoft Azure, AWS, GCP, and Snowflake.
• Experience in Analytics, Data Science tools such as Sagemaker, R, Python, and/or SAS
• Proven track record of being results oriented with demonstrated ability to achieve goals

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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.