Staff Data Engineer (Data Platform)

3 weeks, 3 days ago
Full-time
Lead
Software Development
Quince

Quince

Quince challenges the notion that quality comes at a high price. They aim to provide products of equal or superior quality to luxury brands at significantly lower prices by eliminating middlemen and overseeing every aspect of production. Their goods ar...

Textiles, Apparel & Luxury Goods
51-250
Founded 2018
$64M raised

Description

  • Architect and build the foundational data platform that powers analytics, experimentation, and data products.
  • Establish best practices for data modeling, orchestration, testing, and observability.
  • Build and optimize data infrastructure on AWS, including storage, compute, networking, and security.
  • Partner with Product, Analytics, and Engineering stakeholders to translate business needs into data solutions.
  • Drive technical decisions related to performance, cost optimization, and data quality.
  • Mentor and guide other data engineers while raising technical standards across the team.
  • Own critical systems end to end and contribute to long-term platform roadmap planning.
  • Support operational efficiency and participate in organizational initiatives focused on customer value.

Requirements

  • 7+ years of experience in data engineering or platform engineering roles.
  • Strong hands-on experience with Spark, Python, and SQL in production environments.
  • Experience designing and operating large-scale data systems on cloud infrastructure, with AWS preferred.
  • Deep understanding of data modeling, distributed systems, and performance tuning.
  • Proven ability to lead technical initiatives and influence architecture across teams.
  • Comfort working in ambiguous, early-stage environments where you help define the right approach.
  • Experience with Trino or similar distributed SQL query engines is preferred.
  • Experience using dbt for data transformations and modeling is preferred.
  • Familiarity with modern data stack concepts, including lakehouse architectures, columnar storage, and open table formats.
  • Experience building internal data platforms or shared infrastructure is preferred.
  • Experience with Kubernetes, especially Amazon EKS, for deploying and operating data workloads is preferred.
  • Proficiency in Apache Spark and Apache Kafka is preferred.

Interested in this position?

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