# Senior Manager, Data & Analytics Engineering

**Company:** [Apartment List](https://hotfix.jobs/companies/apartment-list)
**Location:** Remote
**Role:** Engineering Management
**Salary:** $171k – $245k/yr
**Experience:** 5+ years
**Skills:** SQL, Data Engineering, analytics engineering, Data Pipelines, pipeline orchestration, Data Warehousing, Data Modeling, analytics marts, CI/CD, data reliability, data testing, data monitoring, Looker, Tableau, artificial intelligence
**Posted:** 2026-08-03

> Leads the unified Data and Analytics Engineering organization, overseeing people management, architecture, technical roadmaps, data production, modeling, and metrics. The role requires hands-on infrastructure and SQL modeling expertise, strong architectural judgment, and experience translating business needs into data priorities.

## Job Description

## Responsibilities
- Own the end-to-end technical roadmap for Data & Analytics Engineering, from ingestion and pipeline architecture through the modeling layer and the tables and metrics stakeholders rely on.
- Directly manage and develop Analytics Engineers and Data Engineers, including hiring, coaching, growth, and performance management.
- Make and defend platform and architecture investment cases covering orchestration, warehouse cost, CI/CD, data access, and tooling.
- Set and uphold standards for testing, monitoring, documentation, and code quality.
- Serve as the escalation point for complex architectural and production issues.
- Partner with Product, Data Science, Marketing, and other stakeholders to translate ambiguous data needs into a scoped, sequenced roadmap.
- Communicate technical tradeoffs to technical and non-technical audiences.
- Represent team priorities, risks, and investment needs in cross-functional and leadership planning.

## Requirements
- Direct management experience for data engineers and/or analytics engineers, including hiring, coaching, and performance management.
- Experience leading end-to-end data production, from platform through analytics marts.
- Hands-on data infrastructure experience, including pipeline orchestration, warehousing, and platform reliability architecture.
- Hands-on SQL-based modeling experience sufficient to evaluate modeling and metrics decisions.
- Experience setting technical roadmaps and making investment cases to leadership.
- Ability to evaluate and communicate architectural and modeling tradeoffs, such as freshness versus cost and scalability versus simplicity.
- Experience partnering with non-technical stakeholders to define metrics and resolve conflicting data priorities.

## Nice-to-haves
- Experience managing both data engineering and analytics engineering functions.
- Experience owning a BI or semantic-layer tool such as Looker or Tableau as a product.
- Experience establishing cross-team data model standards.
- Experience introducing AI-assisted tooling into engineering or analytics workflows.
- Experience with marketplace, real estate, subscription, or performance marketing data models.

## Compensation and Benefits
- US total target compensation: **$171,000–$208,000** in Zone 3, **$187,000–$226,000** in Zone 2, or **$202,000–$245,000** in Zone 1, including equity.
- Base salary ranges: **$150,000–$177,000** in Zone 3, **$164,000–$192,000** in Zone 2, or **$177,000–$208,000** in Zone 1.
- Pre-IPO stock options and other financial compensation, where applicable.
- Medical, dental, and vision coverage with premiums covered for employees and dependents.
- Unlimited flexible time off, company holidays, recharge days, and a holiday break.
- Home office, health and wellness, parental and family leave, fertility, and family-forming reimbursements or benefits.
- 401(k) plan.
- Team events, mentorship, training, and career development opportunities.
- Strategic initiatives with meaningful impact and visibility.

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