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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.
Job Responsibility:
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
Requirements:
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