Senior Manager, Data Engineering
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.
About the job
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
Skills
Data Engineering, Data Warehouse Design, Pipeline Architecture, dbt, Data Modeling, Pipeline Observability, Data Quality Monitoring, Cloud-Native Architecture, Team Leadership, Cross-Functional Collaboration
Similar jobs
Data Engineering jobs
Garner Health
New York, NY
Build and scale data pipelines, reusable datasets, and validation frameworks supporting business intelligence, marketing, and data science. The role requires strong Python and SQL skills, modern data-stack experience, and at least four years of software or data engineering experience.
Prompt Health
United States
Own the reliability, performance, observability, scalability, and cost efficiency of large Aurora MySQL production environments supporting healthcare applications. The role requires 6+ years of database engineering experience, deep MySQL and AWS expertise, and strong skills in automation, incident response, and query optimization.
OnePay
United States
Leads an analytics engineering team that transforms raw data into reliable, actionable insights for product, marketing, and operations. The role requires 7+ years in data or analytics engineering, management experience, and advanced SQL, Databricks, and dbt expertise.
Decagon
San Francisco, CASenior Data Infrastructure Engineer responsible for building and operating reliable, low-latency streaming and batch data systems that support AI products. Requires 5+ years of production data infrastructure experience and expertise with technologies such as Kafka, Flink, ClickHouse, and Terraform.
Discord
United States
Build and operate petabyte-scale data infrastructure powering Discord’s insights and products. The role requires 5+ years of software engineering experience, strong programming skills, and experience with large-scale pipelines, streaming, orchestration, or data warehousing.