Senior Data Platform Engineer
Core
Design, deploy, and scale data ingestion, transformation, orchestration, and metrics layers to power business intelligence for analysts, executives, and the Board.
Role type
Senior Data Platform Engineer (Data Engineering & Analytics)
Builds
Data pipelines, DBT models, Airflow-on-Kubernetes orchestration, and BI dashboards
Domain
SaaS / AI Infrastructure / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, BigQuery, ETL/rETL, REST/GraphQL APIs, Airflow, Kubernetes, Docker, Cloud infrastructure, AI coding tools
Preferred skills
DBT Semantic Layer, statistical modeling, Infrastructure-as-code (Terraform/Pulumi), building AI agents
Technologies
BigQuery, GKE, Cloud Run, Kafka, Airflow, DBT, Docker, Kubernetes, Terraform, Pulumi
Responsibilities
Design and scale data ingestion pipelines from APIs and SaaS tools; Develop and maintain DBT projects for staging, intermediate, and marts layers; Operate Airflow-on-Kubernetes environments for ingest and transformation workloads; Curate metric definitions and documentation for analysts and agents; Manage infrastructure costs and performance for BigQuery, GKE, and Kafka; Lead mission-critical company-level analyses and build BI dashboards; Enable self-service data access for non-DE stakeholders; Establish best practices for AI-assisted data workflows
Seniority
Senior, hands-on IC