# Senior Manager, Data Engineering

**Company:** [Headway](https://hotfix.jobs/companies/headway)
**Location:** New York, NY, San Francisco, CA, Seattle, WA
**Role:** Data Engineering
**Salary:** $212k – $265k/yr
**Experience:** 8+ years
**Skills:** Data Engineering, Data Warehouse Design, Pipeline Architecture, dbt, Data Modeling, Pipeline Observability, Data Quality Monitoring, Cloud-Native Architecture, Team Leadership, Cross-Functional Collaboration
**Posted:** 2026-06-12

> Lead and scale Headway's data engineering team, owning architecture for data warehouse, pipelines, dbt transformations, and orchestration to power analytics, ML, and operations. Requires 8+ years data engineering experience and 3+ years managing teams.

## Job Description

## Responsibilities
- Lead and grow a high-performing team of Data Engineers, fostering a culture of technical excellence, ownership, and craftsmanship.
- Develop quarterly roadmaps with cross-functional partners on Data Science, Operations and Engineering, align Data Engineering resources, and oversee execution of timely, high-quality work.
- Own the architecture and reliability of Headway's data platform — including our data warehouse, ingestion pipelines, transformation layer (dbt), and orchestration systems.
- Define and champion engineering standards: data modeling conventions, pipeline observability, SLA frameworks, and data quality monitoring.
- Partner cross-functionally to design and build the data infrastructure that powers analytics, experimentation, ML models, and operational tooling at scale.
- Stay close to the work by engaging directly with strategic technical challenges, surfacing gaps in our platform capabilities before they become bottlenecks.
- Translate complex data decisions into clear, actionable recommendations for executive stakeholders.

## Requirements
- 8+ years of experience in data engineering or related roles
- 3+ years of experience managing and developing teams
- Experience building and scaling data platforms in a high-growth, cloud-native environment (highly preferred)
- Proven success partnering cross-functionally with Data Science, Analytics, and Product Engineering
- Deep expertise in data warehouse design, pipeline architecture, and transformation frameworks — with the ability to coach others through complex technical trade-offs

## Nice-to-Haves
- Experience with dbt and orchestration systems

## Compensation & Benefits
- Base salary range: $212,000 - $265,000
- Equity compensation eligibility
- Medical, Dental, and Vision coverage
- HSA / FSA
- 401K
- Work-from-Home Stipend
- Therapy Reimbursement
- 16-week parental leave
- Carrot Fertility annual reimbursement and membership
- 13 paid holidays + Holiday Break
- Flexible PTO
- Employee Assistance Program (EAP)
- Training and professional development

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