Principal Data Platform Engineer
TLDR
Lead the design and operation of a cloud-native data platform enabling scalable analytics and data products across multi-cloud environments.
- Design and implement end-to-end data platform architecture, including CDC pipelines, streaming systems, schema design, transformation layers, warehouse/mart modeling, and consumption-ready datasets with infrastructure-as-code and automation-first principles.
- Build and maintain resilient, multi-region data systems with strong guarantees around replication, automated failover, disaster recovery, and operational reliability.
- Architect scalable streaming and ingestion pipelines with a focus on correctness, schema evolution, replayability, and event-driven design principles.
- Define and enforce data modeling standards for curated marts and semantic layers to enable reliable self-service analytics and downstream consumption.
- Implement comprehensive observability across the data platform, including monitoring, alerting, logging, and data quality validation frameworks.
- Own data governance foundations including PII classification, lineage tracking, access controls, encryption standards, and secure data handling in partnership with Security teams.
- Establish architectural standards and mentor engineers, driving best practices across data engineering, platform reliability, and system design.
- Treat cost efficiency as a core design constraint, optimizing compute and storage usage across all platform components.
- 8+ years of experience in data engineering, platform engineering, SRE, or DevOps roles, with demonstrated impact at Staff or Principal IC level.
- Strong experience building large-scale distributed data systems in production environments with high reliability and performance requirements.
- Deep cloud expertise (Azure preferred, with transferable AWS or GCP experience), including infrastructure-as-code and CI/CD practices (e.g., Terraform or equivalent).
- Strong SQL expertise and solid data modeling skills across both streaming and warehouse/mart architectures.
- Hands-on experience with orchestration tools and streaming/ingestion frameworks such as Airflow, Kafka, Flink, or similar technologies.
- Experience designing cross-region replication and disaster recovery strategies with attention to consistency, latency, and availability trade-offs.
- Experience with modern data warehousing and transformation layers (e.g., Snowflake and dbt or equivalent).
- Proficiency in Python, Go, or similar languages for automation, tooling, and platform engineering tasks.
- Strong communication and ownership skills with a track record of delivering complex, cross-functional systems end-to-end.
- Competitive compensation with bonus and equity eligibility.
- Comprehensive medical, dental, and vision insurance coverage.
- 401(k) retirement plan with company match.
- Generous paid time off and paid family bonding leave.
- Flexible remote-first work environment.
- Health savings accounts and additional insurance options including disability and supplemental coverage.
- Strong focus on learning, mentorship, and professional development in high-impact technical environments.
- Opportunity to work on large-scale, modern data infrastructure in a high-growth organization.
Requirements:
Benefits:
Benefits
Equity Compensation
Competitive compensation with bonus and equity eligibility.
Health Insurance
Health savings accounts and additional insurance options including disability and supplemental coverage.
Learning Budget
Strong focus on learning, mentorship, and professional development in high-impact technical environments.
opportunity for large-scale data infrastructure work
Opportunity to work on large-scale, modern data infrastructure in a high-growth organization.
Paid Time Off
Generous paid time off and paid family bonding leave.
Remote-Friendly
Flexible remote-first work environment.
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services