Senior Data Platform Engineer
Location: Remote
Compensation: To Be Discussed
Reviewed: Fri, Oct 09, 2026
This job expires in: 30 days
Job Summary
Seeking a full-time Senior Data Platform Engineer to build, scale, and operate a bespoke enterprise data platform, focusing on core platform capabilities, API development, and ensuring scalability and resilience in a remote environment.
Key Responsibilities
- Design, build, and operate core platform capabilities for batch and streaming data processing using technologies like Airflow, Spark, and Flink
- Develop APIs and MCP interfaces to expose platform data and capabilities securely to downstream teams and AI agents
- Ensure platform scalability and resilience through performance tuning, capacity planning, and observability measures
Required Qualifications
- 8-12 years of software/data engineering experience with a focus on large-scale data platform infrastructure
- Hands-on experience with technologies such as Apache Airflow, Iceberg, Spark, Flink, Kafka, and Trino
- Strong understanding of lakehouse architecture and API design for multi-tenant platforms
- Practical experience using AI coding agents as part of the development workflow
- Experience in building production observability for complex data infrastructure
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