Senior Engineering Manager - Analytics Platform

Faire is a technology wholesale platform built on the belief that the future is local. We're hiring a Senior Engineering Manager to lead Faire's Analytics Platform team. You will manage data warehousing, ETL pipelines, medallion data sets, BI tooling, and agentic analytics tools that teams across Faire rely on every day to make critical business decisions. The team's mandate is to reduce the time from data to insights for Product Engineering, Data Science, Product Management, Strategy, Analytics, and Finance while ensuring high quality and freshness of that data. This is not just a people management role. You will set the technical direction for the analytics platform, shape its strategy, and lead a team that other teams across the company depend on.

Responsibilities

Directly manage, mentor, and grow a team of 8 engineers; Set the technical vision and roadmap for the analytics platform, including data warehousing, ETL/ELT pipelines, foundational datasets, and BI tooling and integrations; Lead scoping, planning, and prioritization, balancing urgent near-term needs with long-term platform investments; Hold a high bar for data integrity, security, privacy, governance, reliability, and operational excellence; Own cost efficiency across storage and compute, with monitoring, alerting, and cost tracking for workloads; Build AI/LLM-powered tooling and automation that make analytics work faster and more accurate; Partner closely with Data Science, Analytics, Finance, and Product Engineering to turn pain points into platform priorities; Triage and assign production issues and defects alongside planned work, and identify infrastructure or tooling changes that prevent them; Dive into architecture, designs, and code to lead the team effectively; Manage relationships with select infrastructure vendors; Own process and team structure decisions, and attract, hire, and retain top engineering talent

Requirements

8+ years of experience in engineering roles; at least 3+ years in engineering leadership positions; experience building and operating data platforms, such as data warehousing, ETL pipelines, orchestration, and analytics engineering workflows; strong technical background, including strong Python and SQL, and willingness to write software for a couple of months as part of onboarding; understanding of performance, capacity, and cost trade-offs in data processing systems; experience diagnosing, mitigating, and addressing data system production issues at scale; strong internal customer empathy and a track record of building platforms or tooling with high adoption; track record of leading teams to higher levels of contribution and helping engineers grow their careers; comfortable bringing clarity and structure to ambiguous, cross-functional problems; strong communication skills and ability to work with technical and non-technical partners; Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience

Nice to have

Experience with Snowflake or other cloud data warehouses; experience leading through other managers; postgraduate degree in computer science, data science, data analytics, or mathematics; experience with Kotlin, AWS, Airflow, dbt, Databricks, Spark, Flink, Kafka, Fivetran, MySQL, CockroachDB, or Mode (similar technologies welcomed); experience with AI tools such as Claude Cowork, Codex, or Cursor

Benefits

Equity; flexible paid time off; company-wide recharge days; paid parental leave up to 16 weeks; comprehensive health coverage, with options varying by location; fertility and family-building benefits through Carrot, including a lifetime reimbursement allowance; mental health support and coaching through Modern Health; stipends for professional development, wellness, and work from home needs; employer-sponsored retirement plan, dependent on country of employment