Senior Data Engineer at Fashion Nova

<div class="content-heading"><strong>About us&nbsp;&nbsp;</strong></div> <div> <div> <div data-smartmail="gmail_signature"> <p><span style="font-weight: 400;">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&nbsp;</span><span style="font-weight: 400;">our models and social media became our runway.&nbsp;</span></p> <span style="font-weight: 400;">Fashion Nova was built on the backbone of individuality and inclusiveness. Today, Fashion Nova is worn and celebrated by the hottest musicians,</span> <span style="font-weight: 400;">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.</span></div> </div> </div> <p><strong>About the Role</strong><span style="font-weight: 400;">&nbsp;</span></p> <p class="isSelectedEnd">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.</p> <p>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.</p> <p><strong>Responsibilities</strong></p> <ul data-spread="false"> <li>Design, build, and maintain scalable, production-grade data pipelines and transformation frameworks using Snowflake and dbt.</li> <li>Lead data modeling efforts to support reporting, analytics, and business intelligence initiatives across multiple business functions.</li> <li>Optimize Snowflake performance, storage, and cost efficiency through best practices in architecture and query design.</li> <li>Develop and maintain orchestration workflows using Airflow, Dagster, or similar tools.</li> <li>Build and maintain Python-based solutions for data processing, automation, and integration.</li> <li>Partner with Analytics, Product, Engineering, and business stakeholders to translate business requirements into scalable data solutions.</li> <li>Implement and maintain CI/CD processes, testing frameworks, and deployment strategies for data transformations and pipelines.</li> <li>Establish and enforce best practices for data quality, observability, monitoring, and reliability.</li> <li>Drive data security, governance, and compliance initiatives across the data platform.</li> <li>Evaluate and implement Snowflake features including Time Travel, Zero-Copy Cloning, Secure Data Sharing, and other platform capabilities.</li> <li>Support integration of data warehouse solutions with BI, reporting, and analytics platforms.</li> <li>Mentor junior engineers and contribute to the growth of the data engineering team.</li> <li>Participate in architecture discussions, technical planning, and strategic roadmap initiatives.</li> <li>Troubleshoot complex data challenges and make sound technical decisions in a fast-paced environment.</li> </ul> <p><strong>Requirements</strong></p> <ul> <li>7<strong>+ years</strong> of experience in data engineering</li> <li><strong>Of those 7 years, Senior-level experience required:</strong> 1 year or more</li> <li>Strong experience with <strong>Snowflake</strong>: data modeling, performance optimization, security implementation.</li> <li>Proficient in <strong>dbt development</strong>, building production-grade data transformation pipelines.</li> <li>Advanced <strong>SQL</strong> skills and Snowflake-specific features (Time Travel, Zero-Copy Cloning, Secure Data Sharing).</li> <li>Experience with <strong>data orchestration tools</strong>: Airflow or Dagster acceptable.</li> <li><strong>Python</strong> skills for data processing and automation.</li> <li>Hands-on experience in <strong>data warehouse design, optimization, and integration with analytics tools</strong>.</li> <li>Knowledge of <strong>CI/CD</strong>, testing, and deployment strategies for data transformations.</li> <li>Experience with <strong>data security best practices</strong> and monitoring solutions.</li> <li>Excellent communication and collaboration skills in <strong>agile environments</strong>.</li> <li>Strong problem-solving skills and ability to make independent technical decisions.</li> <li>Certification in <strong>Snowflake</strong> or <strong>dbt</strong></li> <li>Experience with <strong>cloud platforms</strong>: AWS, GCP, or Azure</li> <li>Familiarity with <strong>data governance</strong> and compliance requirements</li> </ul> <p><strong>Benefits</strong></p> <div> <ul> <li>Employee Discount</li> <li>Medical,&nbsp;Dental and Vision Coverage</li> <li>401k Match</li> <li>Kitchen stocked with snacks and drinks</li> <li>Weekly catered food, fun events, raffles and free FN swag&nbsp;&nbsp;</li> <li>Summer Fridays at HQ</li> <li>Company Sponsored&nbsp;Parties</li> <li>Team bonding events and programs to strengthen relationships with co-workers</li> </ul> <p><strong>Fashion Nova, Inc. is an equal opportunity employer committed to a diverse workplace environment.&nbsp;&nbsp;</strong></p> </div> <div>#LI-ZM001</div> <p class="content-heading">&nbsp;</p><div class="content-conclusion"><p><a href="https://fn-talent-acquistion.s3.us-west-2.amazonaws.com/FN%20NOTICE%20AT%20COLLECTION.pdf" target="_blank"><strong>NOTICE AT COLLECTION&nbsp;</strong></a></p> <p>&nbsp;</p></div>