Staff Data Engineer
Core
Own the architecture and technical vision of a converged AI workspace data platform, balancing scalability, cost, and reliability for enterprise users.
Role type
Staff Data Engineer (IC)
Builds
Data platform infrastructure, AI/ML workloads (LLM frameworks, feature pipelines), and scalable data pipelines.
Domain
SaaS / AI-native workspace / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
AWS serverless (Lambda, Fargate, Step Functions, Kinesis, S3, DynamoDB, Aurora), Terraform/CDK, Snowflake, dbt, Python (frameworks/tooling), orchestration (Airflow/Dagster/Prefect), streaming/event-driven architectures, CI/CD, Docker
Preferred skills
Petabyte-scale data platforms, data mesh paradigms, FinOps practices, open-source contributions
Technologies
AWS, Snowflake, dbt, Terraform, CDK, Python, Airflow, Dagster, Prefect, Kinesis, Kafka, Docker
Responsibilities
Own technical architecture and roadmap for data infrastructure; design scalable systems and abstractions; drive cross-team initiatives spanning data engineering, analytics, and data science; optimize cloud costs; build AI/ML data infrastructure; mentor senior engineers; influence org-wide technical decisions.
Seniority
Staff, high-autonomy IC with strategic impact