Senior Staff Data Engineer – Platform Data and Analytics

🔥 50 minutes ago

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Faire

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

🤝 B2B

🛍️ eCommerce

🛒 Retail

B2B • eCommerce • Retail

Faire is a wholesale marketplace that connects independent retailers with unique products from global brands. It offers a platform for retailers to discover and purchase products that resonate with their customers, featuring various categories including women-owned, eco-friendly, and handmade items. With benefits like easy returns on first orders and flexible payment options, Faire aims to simplify the purchasing experience for retailers while supporting diverse and local brands.

📋 Description

• Plan and execute on technology projects that scale with Faire’s growth; lead architecture development with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting. • Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals. • Provide technical guidance and mentorship on the most difficult open-ended problems we face. Including cost-efficient compute and storage, ETL and ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance.

🎯 Requirements

• Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale. • Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows. • Strong SQL and Python skills and experience. • Data warehousing experience at Petabyte scale. • Snowflake, Airflow, Spark experience especially valuable. • Understanding of performance, capacity, cost trade-offs in data processing systems. Experience in guiding technical and product teams on such trade-offs. • Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization. • Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people. Enabling teams to operate in a self-serve model. • Excellent communication, leadership, and influencing skills. • A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.

🏖️ Benefits

• Equity and benefits • Comprehensive benefits designed to support your life inside and outside of work.