Senior Data Platform Engineer
Core
Design, build, and evolve the data platform infrastructure, backend services, and pipelines that move data from source to decision for AI-powered influencer marketing products.
Role type
Senior Data Platform Engineer
Builds
Scalable data infrastructure, batch and real-time pipelines, backend APIs, and AI-ready data foundations
Domain
Data Engineering / Cloud Infrastructure / AI Data Foundations
Deliverable
infrastructure
Required skills
Python, SQL, dbt, GCP, BigQuery, AWS, Infrastructure as Code, CI/CD, Batch and Streaming Architectures, Data Governance
Preferred skills
Kubernetes, Managed Ingestion Tools (e.g., Fivetran), Internal Platform Development, Vector Stores, Feature Pipelines
Technologies
GCP, BigQuery, AWS, dbt, Python, SQL, Kubernetes, Fivetran
Responsibilities
Design and own scalable infrastructure across ingestion, orchestration, storage, transformation, and consumption; Build reliable batch and real-time pipelines and dbt transformation layers; Engineer backend systems, APIs, and integrations for data movement; Build observability, data quality checks, and access controls; Make trusted company data accessible for analytics, machine learning, and AI applications; Mentor other engineers and raise the technical bar.
Seniority
Senior, hands-on IC
