Sr. Data Engineer
Core
Senior Data Engineer acting as a technical reference to own architectural decisions, design scalable data pipelines, and partner with Product, Finance, and Engineering teams to deliver data-driven solutions.
Role type
Senior IC Data Engineer (Technical Reference)
Builds
Cloud-native data platforms, batch and streaming data systems, and scalable data architectures on AWS.
Domain
EdTech / Creator Economy / Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Data modeling, data pipeline design and optimization, cloud-native platform architecture on AWS, orchestration and workflow management, infrastructure-as-code, batch and streaming data systems design.
Preferred skills
DBT, metadata/catalog tools, Data Mesh patterns, eventing and integration tools (DMS, AppFlow, SQS/SNS), production-grade software delivery.
Technologies
AWS (orchestration, storage, compute, IAM), Airflow, Terraform, Kafka, Kinesis, Spark Streaming, DBT.
Responsibilities
Set data modeling and architectural standards and best practices for data pipelines at scale. Run high-impact data engineering initiatives across multiple domains. Balance build vs. buy decisions to maximize impact in product analytics and infrastructure. Manage technical debt while ensuring scalability, reliability, and maintainability.
Seniority
Senior, hands-on IC with architectural ownership
