Principal Data Engineer
Hims & Hers· ANALYTICS & DATA SCIENCE
Remote$220k - $260kFull-timePosted 2mo ago
About the role
Senior individual contributor responsible for defining and guiding the multi-year data platform architecture and streaming strategy at Hims & Hers, spanning ingestion, streaming, orchestration, transformation, and serving to support Analytics Engineering, Data Science, and Software Engineering across telehealth, prescriptions, and wellness products.
Responsibilities
- The multi-year platform architecture. Ingestion, streaming, orchestration, transformation, and serving as one system rather than five. You decide what we build, what we buy, what we deprecate, and in what order.
- The streaming bet. Determine whether Kafka to Flink to BigQuery remains an analytics pipeline or becomes production infrastructure, and the associated operational, financial, and organizational commitments.
- The contracts between organizations. Define interfaces, service boundaries, and data contracts governing consumption and writing into the platform.
- What "trustworthy data" means here, including quality and freshness guarantees, tiering, and accountability model when guarantees are missed.
- The economics of the platform. Storage and compute strategy, reservation model, orchestration footprint, and an accountability framework for consumption.
- The self service strategy. Enable Analytics Engineering and Data Science to move without waiting on DPE while maintaining guardrails for production.
- The standards the discipline runs on. Testing, CI/CD, observability, schema governance, and infrastructure as code adopted beyond direct reports.
- Architecture Review. Chair it and be the decision-maker of record for cross-team, multi-system, and cost-impacting changes.
- The seams between data and everything else. readiness for ML/DS, HIPAA/PHI compliance posture, and infrastructure hardening with DevOps.
- The written record. ADRs, design docs, and RFCs as reference for teams.
- The technical ceiling of the org. Mentorship, design reviews, and hands-on pairing to elevate others.
- Hands-on ownership. Write and review production code and participate in platform-level P1s.
Qualifications
- 15+ years building and owning data platform architecture, with a track record of durable decisions across multiple companies or platform generations
- Evidence of defining architectural authority and obtaining adoption through credibility rather than reporting lines
- Deep GCP and BigQuery expertise, plus AWS operational fluency (Airflow on EKS); multicloud experience
- Modern data stack at scale: governing dbt, Airflow/Astronomer, Kafka/Confluent, Databricks/Spark, Fivetran, and reverse ETL platforms
- Production experience with event streaming at scale (schema registry, data contracts, consumer lag management, delivery semantics)
- Data governance and compliance in regulated environments (HIPAA/PHI, GDPR)
- Terraform or equivalent; infrastructure changes as software changes
- Strong Python and SQL; production-grade pipeline code and code reviews
- Ability to craft design docs that drive alignment across organizations
Skills
Required:GCP BigQueryAWS (EKS)Data governance & HIPAA/GDPRTerraformPythonSQL
Benefits
- Competitive salary & equity compensation for full-time roles
- Unlimited PTO, company holidays, and quarterly mental health days
- Comprehensive health benefits (medical, dental, vision) and parental leave
- Employee Stock Purchase Program (ESPP)
- 401k with employer matching
- Offsite team retreats
Last updated Oct 21, 2026. Interested? Apply on the company site.
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