Data Management professional at Kyndryl involved in creating innovative data solutions and ensuring the seamless operation of complex data systems. Collaborating with teams to transform requirements into scalable database solutions.
About the role
- Data Engineer defining data architecture and guiding business intelligence at Sotheby’s. Collaborating with teams to implement solutions and drive insights from data.
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
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.
Benefits
- 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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