Senior Manager- Data Engineering

OUR STORY

Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price. 

OUR VALUES

Customer First. Customer satisfaction is our highest priority.

High Quality. True quality is a combination of premium materials and high production standards that everyone can feel good about.

Essential design. We don’t chase trends, and we don’t sell everything.  We’re expert curators that find the very best and bring it to you at the lowest prices.

Always a better deal. Through innovation and real price transparency we want to offer the best deal to both our customers and our factory partners.  

Environmentally and Socially conscious.  We’re committed to sustainable materials and sustainable production methods. That means a cleaner environment and fair wages for factory workers.

OUR TEAM AND SUCCESS 

Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You’ll work with a team of world-class talent from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc.

THE IDEAL CANDIDATE:

Manage and grow a cross-functional data-engineering team responsible for both Data Products & Platform

RESPONSIBILITIES:

• Manage and grow a cross-functional data-engineering team responsible for both Data Products & Platform
• Mentor a group of highly skilled junior & senior engineers by providing technical management, guidance, coaching, best practices and principles
• Active participation in the design, development, delivery, and maintenance of data products & platform
• Responsible for OKR planning, resource planning, execution, and quality of the data products & tools delivered by the group
• Lead the group to build sophisticated products using a cutting-edge cloud native technology stack. The products will be used by various internal customers like Data Analysts, ML Engineers & Data Scientists, Management & even external stakeholders
• Work closely with various business stakeholders like the Product Management Team and other Engineering teams to drive the execution of multiple business strategies and technologies
• Act as a point of contact for TCO (total cost of ownership) for Data Platform(Ingestion, Processing, Extraction & Governance)
• Manage and drive production defects & stability improvements to resolution
• Ensure operational efficiency and actively participate in organizational initiatives with the objective of ensuring the highest customer value
• Tailor processes to help manage time-sensitive issues and bring them to appropriate closure

REQUIREMENTS:

• Total 9-12 Years of experience.
• First hand exposure in managing large scale data ingestion, processing, extraction & governance processes.
• Experience in Big Data technologies(e.g. Apache Hadoop, Spark, Hive, Presto)
• Experience with Message Queues(e.g. Apache Kafka, Kinesis, RabbitMQ)
• Experience with Stream Processing technologies (e.g. Spark Streaming, Flink)
• Proficiency in at least one of the following programming languages - Python, Java or Scala.
• Experience in building Highly Available, Fault Tolerant REST services preferably for data ingestion or serving.
• Good understanding of traditional data-warehousing fundamentals.
• Good exposure to SQL (T-SQL/PL-SQL/SPARK-SQL/HIVE-QL).
• Experience with integrating data across multiple data sources.
• Good understanding of distributed computing principles.
• Strong analytical/quantitative skills and ability to connect Data with business outcomes.

Security Advisory: Beware of Frauds

At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.