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Senior Manager, Data Engineering

📅 Jun 12
Data EngineeringData Platform ArchitectureData Warehouse DesignData Pipeline Architecture
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📜 Description

  • Lead and develop a high-performing team of Data Engineers.
  • Set quarterly roadmaps with cross-functional partners and oversee delivery of high-quality work.
  • Own the architecture and reliability of the data platform, including the warehouse, ingestion pipelines, dbt transformations, and orchestration.
  • Establish standards for data modeling, pipeline observability, SLAs, and data quality monitoring.
  • Partner with Data Science, Analytics, Product, and Engineering to build infrastructure for analytics, experimentation, ML, and operational tools.
  • Address strategic technical challenges and communicate data decisions to 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 is highly preferred.
  • Proven cross-functional partnership with Data Science, Analytics, and Product Engineering.
  • Deep expertise in data warehouse design, pipeline architecture, and transformation frameworks; able to coach others through technical trade-offs.

✨ Benefits

  • Medical benefits
  • Dental benefits
  • Vision benefits
  • HSA/FSA
  • 401(k) with match
  • Carrot Fertility reimbursement
  • Paid parental leave
  • Paid medical and caregiver leave
Full job description

1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that.

But we're going further. Over 90,000 providers across all 50 states run their practice on our software, serving over 2.6 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale, and building much of it with AI. We aren't just a billing layer; we are becoming the platform where care actually happens.

We're a Series D company with $325M+ in funding (a16z, Accel, Spark Capital, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.

About the Role

As Senior Manager, Data Engineering, you will define and lead the technical strategy for Headway's data infrastructure. The team's mission is to build and maintain the reliable, scalable data systems that power analytics, machine learning, and operational decision-making across the company.

You will report into Headway's Data organization, a mission-critical pillar that ensures our data assets are accurate, timely, and accessible. Trustworthy data infrastructure is foundational to Headway's growth — enabling every team to build, measure, and improve with confidence.

You will partner closely with Data Science, Analytics, Product, and Engineering to deeply understand and anticipate the data needs of a fast-growing healthcare company. You will define the right architectural investments, proactively surface reliability and scalability risks, and use engineering rigor to guide decisions from early design through launch and iteration.

You will:

  • 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.

  • Identify and prioritize platform projects that enable better self-service and standardization across teams and pods, reducing bottlenecks and empowering stakeholders to get the data they need on their own.

  • 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.

  • Lead the team in finding practical ways to leverage AI in data engineering workflows, with a clear view of what’s feasible today and what isn’t yet.

  • 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.

You will love this role if:

  • You have 8+ years of experience in data engineering or related roles

  • You have 3+ years of experience managing and developing teams

  • You have experience building and scaling data platforms in a high-growth, cloud-native environment (highly preferred)

  • You have proven success partnering cross-functionally with Data Science, Analytics, and Product Engineering

  • You have deep expertise in data warehouse design, pipeline architecture, and transformation frameworks — with the ability to coach others through complex technical trade-offs

  • You’re forward-thinking about AI, with hands-on experience using it to improve team workflows and a pragmatic sense of where it adds real value

Comprehensive benefits:

Medical, dental, vision, HSA/FSA, 401(k) including match for 2027!, Carrot Fertility reimbursement, and paid parental, medical and caregiver leave.

We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview.

Headway participates in E-Verify. To learn more, click here.

A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.

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