Staff Data Platform Engineer
Core
Designing and developing advanced data infrastructure for Zendesk's data platform to power next-generation reporting, analytics, and AI/ML integration.
Role type
Staff Data Platform Engineer (DevOps-focused)
Builds
Secure, highly-available data services and pipelines handling large-scale, mission-critical workloads.
Domain
Enterprise Data & Analytics / Cloud Infrastructure
Deliverable
infrastructure
Required skills
Cloud infrastructure design, CI/CD pipeline design, Infrastructure as Code, Container orchestration, Python, SQL, Observability framework design, Cross-team initiative leadership
Preferred skills
ETL orchestrator experience, Data build tool familiarity, Data governance best practices
Technologies
GCP, AWS, Kubernetes, Docker, Terraform, Github Actions, Fivetran, Snowflake, dbt, Airflow, DataDog, MonteCarlo
Responsibilities
Lead architecture and roadmap for end-to-end data platform; Define and evolve data platform architecture across ingestion, transformation, storage, and governance; Establish standardized data contracts, schemas, and tooling; Lead build-vs-buy evaluations and pilot new technologies; Design and deliver secure, highly-available data services and pipelines; Establish SLOs/SLIs and implement robust observability; Define standards for data modeling, testing, CI/CD, and code quality; Conduct deep root cause analyses and drive systemic fixes.
Seniority
Staff, hands-on IC with broad technical and organizational influence
