Senior Data Platform Engineer
Core
Building and maintaining a modern, AI-first data platform for a travel booking company, handling ingestion from 25+ sources, managing Snowflake warehouses, and ensuring data quality for business-critical metrics like commissions and attribution.
Role type
Senior Data Platform Engineer
Builds
Production data pipelines, Snowflake models, AWS infrastructure, and observability dashboards
Domain
Travel industry, Data Engineering, Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
SQL, Snowflake, dbt, Python, AWS, CDK, Dagster, Data Observability, Event Tracking (Segment)
Preferred skills
dlt, TypeScript, E-commerce/Travel domain experience, MCP (Model Context Protocol)
Technologies
Snowflake, dbt, AWS, CDK, Dagster, Datadog, Segment, dlt, Hex, Metabase
Responsibilities
Own Snowflake warehouse and dbt project (300+ models, 1,700+ tests); Manage daily ingestion from 25+ sources via dlt and Dagster; Operate AWS infrastructure (Step Functions, Lambda, S3, Athena, Iceberg) defined in CDK; Lead observability in Datadog; Troubleshoot and maintain pipeline health; Utilize AI tools to enhance data workflows.
Seniority
Senior, hands-on IC
