Senior Data Engineer New Beverly Hills

Fashion Nova, LLC

Beverly (MA)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Employee Discount
Medical, Dental and Vision Coverage
401k Match
Kitchen stocked with snacks and drinks
Weekly catered food
Company Sponsored Parties
Team bonding events

Job summary

Fashion Nova, LLC is seeking a Lead Data Engineer to design, build, and scale their data platform to drive growth. This role requires expertise in Snowflake, data modeling, and pipeline development, along with strong communication skills in agile environments.

Ideal candidates should have over 7 years of experience in data engineering, with a focus on performance optimization and security. The company offers employee discounts, comprehensive medical coverage, and team bonding events, ensuring a vibrant workplace culture.

Qualifications

  • 7+ years of experience in data engineering.
  • Senior-level experience required: 1+ years.
  • Strong experience with Snowflake: data modeling and performance optimization.
  • Advanced SQL skills and Snowflake-specific features.
  • Experience with data orchestration tools: Airflow or Dagster.
  • Python skills for data processing and automation.
  • Hands-on experience in data warehouse design and integration.
  • Knowledge of CI/CD, testing, and deployment strategies.
  • Excellent communication skills in agile environments.

Responsibilities

  • Design, build, and maintain scalable data pipelines using Snowflake.
  • Lead data modeling efforts for analytics and business intelligence.
  • Optimize Snowflake performance and storage efficiency.
  • Develop and maintain orchestration workflows.
  • Build Python-based solutions for data processing.
  • Implement CI/CD processes and testing frameworks.
  • Drive data security and compliance initiatives.
  • Mentor junior engineers and contribute to the team.

Skills

Snowflake
SQL
Python
Airflow
Data security best practices
Agile environments
Data modeling

Education

Certification in Snowflake or dbt

Tools

AWS
GCP
Azure

Job description

Fashion Nova is a leading, digital and social commerce platform, and is one of the most visible fashion brands today. Fashion Nova was founded in 2006 when our first store opened its doors. Fast forward to 2013, Fashionnova.com and @fashionnova were born – our customers became our models and social media became our runway. Fashion Nova was built on the backbone of individuality and inclusiveness. Today, Fashion Nova is worn and celebrated by the hottest musicians, influencers and fashionistas. Our go‑to‑market strategy enables style innovation at warp speed, and at an accessible price point. With no plans on slowing down, Fashion Nova is set to provide everyone equal accessibility to fashion.

About the Role

Fashion Nova is seeking a Lead Data Engineer to help build and scale the data platform that powers our next phase of growth. This role will be instrumental in designing, developing, and optimizing the data infrastructure that supports analytics, reporting, operational decision‑making, and customer insights across the organization.

As a technical leader, you will drive best practices in data modeling, pipeline development, data quality, and platform performance while partnering closely with Analytics, Product, Engineering, and Business stakeholders. You will play a critical role in shaping the architecture, scalability, and reliability of Fashion Nova’s modern data ecosystem.

Responsibilities
  • Design, build, and maintain scalable, production‑grade data pipelines and transformation frameworks using Snowflake and dbt.
  • Lead data modeling efforts to support reporting, analytics, and business intelligence initiatives across multiple business functions.
  • Optimize Snowflake performance, storage, and cost efficiency through best practices in architecture and query design.
  • Develop and maintain orchestration workflows using Airflow, Dagster, or similar tools.
  • Build and maintain Python‑based solutions for data processing, automation, and integration.
  • Partner with Analytics, Product, Engineering, and business stakeholders to translate business requirements into scalable data solutions.
  • Implement and maintain CI/CD processes, testing frameworks, and deployment strategies for data transformations and pipelines.
  • Establish and enforce best practices for data quality, observability, monitoring, and reliability.
  • Drive data security, governance, and compliance initiatives across the data platform.
  • Evaluate and implement Snowflake features including Time Travel, Zero‑Copy Cloning, Secure Data Sharing, and other platform capabilities.
  • Support integration of data warehouse solutions with BI, reporting, and analytics platforms.
  • Mentor junior engineers and contribute to the growth of the data engineering team.
  • Participate in architecture discussions, technical planning, and strategic roadmap initiatives.
  • Troubleshoot complex data challenges and make sound technical decisions in a fast‑paced environment.
Requirements
  • 7+ years of experience in data engineering
  • Of those 7 years, Senior‑level experience required: 1 year or more
  • Strong experience with Snowflake: data modeling, performance optimization, security implementation.
  • Advanced SQL skills and Snowflake‑specific features (Time Travel, Zero‑Copy Cloning, Secure Data Sharing).
  • Experience with data orchestration tools: Airflow or Dagster acceptable.
  • Python skills for data processing and automation.
  • Hands‑on experience in data warehouse design, optimization, and integration with analytics tools.
  • Knowledge of CI/CD, testing, and deployment strategies for data transformations.
  • Experience with data security best practices and monitoring solutions.
  • Excellent communication and collaboration skills in agile environments.
  • Strong problem‑solving skills and ability to make independent technical decisions.
  • Certification in Snowflake or dbt
  • Experience with cloud platforms: AWS, GCP, or Azure
  • Familiarity with data governance and compliance requirements
  • Employee Discount
  • Medical, Dental and Vision Coverage
  • 401k Match
  • Kitchen stocked with snacks and drinks
  • Weekly catered food, fun events, raffles and free FN swag
  • Summer Fridays at HQ
  • Company Sponsored Parties
  • Team bonding events and programs to strengthen relationships with co‑workers
Equal Opportunity Statement

Fashion Nova, Inc. is an equal opportunity employer committed to a diverse workplace environment.

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