# Senior Engineering Manager - Analytics Platform

**Company**: Faire
**Location**: Kitchener-Waterloo, ON
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $190,500 - $262,000 per year
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/faire/jobs/8917120002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-engineering-manager-analytics-platform-00c5481e-36b/

## Description

Faire is building the operating system for local retail. We're looking for 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.

Responsibilities:

- Directly manage, mentor, and grow a team of 8 engineers

- Set the technical vision and roadmap for Faire's analytics platform

- Lead scoping, planning, and prioritization

- Hold a high bar for data integrity, security, privacy, governance, reliability, and operational excellence

- Own cost efficiency across storage and compute

- Build AI/LLM-powered tooling and automation

- Partner closely with Data Science, Analytics, Finance, and Product Engineering

- Triage and assign production issues and defects

- Dive into the architecture, designs, and code

- Manage relationships with select infrastructure vendors

- Own process and team structure decisions

Requirements:

- 8+ years of experience in engineering roles

- 3+ years in engineering leadership positions

- Experience building and operating data platforms

- Strong technical background in Python and SQL

- Understand the performance, capacity, and cost trade-offs in data processing systems

- Experience diagnosing, mitigating, and addressing data system production issues at scale

Nice to have:

- Experience with Snowflake or other cloud data warehouses

- Led through other managers

- Postgraduate degree in computer science, data science, or mathematics

Technologies we use:

- Languages: Kotlin, Python, SQL

- Infrastructure: AWS, Airflow, dbt, Snowflake, Databricks, Spark, Flink, Kafka, Fivetran, MySQL, CockroachDB, Mode

- AI Tools: Claude Cowork, Codex, Cursor

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## Skills

### Required
- Python
- SQL
- data warehousing
- ETL pipelines
- data processing
- AI/LLM-powered tooling

### Nice to have
- Snowflake
- cloud data warehouses
- postgraduate degree in computer science

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/faire/jobs/8917120002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)