Principal Data Engineer
Hims & Hers · Remote · US Remote ·
COMPENSATION
$220k – $260k
Listed on the employer's job board (Ashby)
- Principal level role
- Fully remote (US)
- GCP + AWS multicloud
- Kafka + BigQuery
- Healthcare industry
As the most senior individual contributor in Data Platform Engineering, you will set the architecture for how Software Engineering, Analytics, and Data Science utilize data. You will decide the future of the streaming platform, define data contracts, and establish standards for quality and cost efficiency across the organization.
What you'll do
- Define multi-year platform architecture for ingestion, streaming, and serving
- Decide whether streaming infrastructure supports analytics or production workloads
- Establish data contracts and service boundaries between organizations
- Set quality guarantees and accountability models for trustworthy data
- Determine storage and compute strategies to manage platform economics
- Create self-service capabilities with guardrails for Analytics and Data Science
- Chair architecture reviews for cross-team and cost-impacting changes
- Ensure HIPAA compliance and collaborate with Legal and Security teams
- Mentor Staff and Senior engineers through design reviews and pairing
- Write and review production code while handling platform-level incidents
What you'll need
- 15+ years building and owning data platform architecture
- Proven ability to set technical direction without direct management authority
- Deep expertise in GCP and BigQuery with operational fluency in AWS
- Experience governing modern data stacks like dbt, Airflow, and Kafka at scale
- Strong background in event streaming, schema registry, and delivery semantics
- Knowledge of data governance, HIPAA, PHI handling, and GDPR compliance
- Proficiency with Terraform or equivalent infrastructure as code tools
- Advanced skills in Python and SQL for production pipeline code
- Ability to write design docs that drive organizational alignment
Nice to have
- Production experience with Databricks, Unity Catalog, and Delta Lake
- Expertise in CDC patterns and Flink for real-time processing
- Experience leading BigQuery to Databricks Lakehouse migrations
- Background in MLOps, feature stores, or AI-driven product features
- Service development experience in Go or Python for Kafka
- Prior work in direct-to-consumer healthcare or telehealth
- Understanding of SOX compliance controls in data engineering
Stack
- GCP BigQuery
- AWS EKS
- Airflow
- Astronomer
- dbt
- Confluent Kafka
- Databricks Delta Lake
- Terraform
- OpenTofu
- Python
- SQL
How you'll work
- Flexible and remote work approach
- Full-time employment status
What you get
- Competitive salary and equity compensation
- Unlimited PTO and company holidays
- Quarterly mental health days
- Comprehensive medical, dental, and vision benefits
- Parental leave support
- Employee Stock Purchase Program
- 401k with employer matching contribution
- Offsite team retreats