Related skills
aws python kubernetes go typescript📋 Description
- Architect & lead data platform strategy: lakehouse, Iceberg, ingestion, streaming, serving.
- Evaluate architectures; lead design reviews; ensure consistency.
- Operational excellence and scalability: performance, freshness, accuracy, availability.
- Cross-cutting ownership: ingestion, modeling, streaming, quality, lineage, observability.
- Standards & best practices: modeling, schema evolution, partitioning, pipelines, quality.
- Collaboration with Product, AI, Security; own data flows end-to-end.
🎯 Requirements
- 10+ years in software/data engineering; 4+ years as senior/lead/principal.
- Apache Iceberg expertise (mandatory) and lakehouse design.
- Large-scale data pipelines: batch and streaming.
- Python, Go, or TypeScript proficiency.
- Data lakes (S3) and Kafka/Spark/Flink.
- AWS, Docker, Kubernetes, Terraform/CloudFormation.
- Data observability, quality, SLAs, failure recovery.
- Security, multi-tenancy: isolation, governance, access control.
🎁 Benefits
- Unlimited vacation policy
- Culture-first, high-trust environment
- Ownership and autonomy
- Commitment to continuous learning
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