Staff Data Engineer
Core
Technical backbone of the Data organization, owning the architecture of the data platform to prepare data for the AI era.
Role type
Staff Data Engineer (hands-on IC)
Builds
Scalable, reliable, cost-efficient data pipelines (batch and streaming) and AI-ready data infrastructure (semantic layers, feature stores, retrieval-ready data)
Domain
Fintech / Payments / Data Engineering
Deliverable
production ML models
Required skills
Data platform architecture, SQL, Python, distributed processing (Spark), orchestration (Airflow, Dagster), cloud infrastructure (AWS/GCP/Azure), IaC, CI/CD, data modeling, data quality, observability, governance
Preferred skills
AI/LLM application tooling (text-to-SQL, MCP, RAG), payments/credit domain, data catalogs, open-source contributions
Technologies
Spark, Airflow, Dagster, AWS, GCP, Azure, dbt, Databricks, Snowflake, BigQuery, Kafka
Responsibilities
Design and build scalable data pipelines; lead AI enablement efforts by structuring and exposing data; define best practices in modeling, testing, and governance; partner with leadership on technical roadmaps; implement data governance strategy; advance self-service data platform; mentor team members
Seniority
Staff, hands-on IC