For over a century, Neiman Marcus Group has served the unique needs of our discerning customers by staying true to the principles of our founders: to be the premier omni-channel retailer of luxury and fashion merchandise dedicated to providing superior service and a distinctive shopping experience in our stores and on our websites. Neiman Marcus Group is comprised of the Specialty Retail Stores division, which includes Neiman Marcus and Bergdorf Goodman, and our international brand, mytheresa.com. Our portfolio of brands offers the finest luxury and fashion apparel, accessories, jewelry, beauty, and home dcor. The Company operates more than 40 Neiman Marcus full-line stores in the most affluent markets across the United States, including U.S. gateway cities that draw an international clientele. In addition, we operate 2 Bergdorf Goodman stores in landmark locations on Fifth Avenue in New York City. We also operate more than 40 Last Call by Neiman Marcus off-price stores that cater to a value oriented, yet fashion minded customer. Our upscale eCommerce and direct-to-consumer division includes NeimanMarcus.com, BergdorfGoodman.com Horchow.com, LastCall.com, and CUSP.com. Every day each of our 15,000 NMG associates work towards the goal of enabling our customers to shop any of our brands "anytime, anywhere, and on any device." Whether the merchandise we sell, the customer service we offer, or our investments in technology, everything we do is to enhance the customer experience across all channels and brands.
Data engineer will have the unique combination of business acumen needed to interface directly with key stakeholders to understand the problem along with the skills and vision to translate the need into a world-class technical solution using the latest technologies
This person will be a hands-on role who is responsible for building data engineering solutions for NMG Enterprise using cloud based data platform. They will provide day-to-day technical leadership and active oversight for technical design, development and support for data engineering workloads. In this role, you need to be equally skilled with the whiteboard and the keyboard.
Work with business partners and data science teams to understand business context and craft best-in-class solutions to their toughest problems
Develop deep understanding of business knowledge of data and Retail domain
Create robust and automated pipelines to ingest and process structured and unstructured data from source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset
Lead building a scalable next gen Cloud platform to so support data transformation, ML and AI Strategy including migration of current platform to AWS.
Work with data scientists to operationalize and scale machine learning training and scoring components by joining and aggregating data from multiple datasets to produce complex models and low-latency feature store
Lead and guide the evolution of various data management functions (Data Catalog, Data Prep, Data Lineage & Metadata Management functions)
Provide hands-on technical leadership in all aspects of data engineering design and implementations including data ingestion, data models, data structures, data storage, data processing, and data monitoring at scale
Develop data engineering best practices with considerations for high data availability, computational efficiency, cost, and quality
Lead, Design and develop automation to optimize data platform compute and storage resources
Evaluate and make recommendations on new technologies, tools and guide the team on up-to-date technologies, standards, and practices
Coach and mentor more junior resources
Contribute to the internal knowledge base to build expertise and awareness within the organization
Assist in our recruiting and interviewing process
Participate in developing projects plan, timelines and providing estimates
Participate in daily scrum calls and provide clear visibility to work products