Architect the Core Data Platform for streaming/batch processing of high-velocity telemetry.
Enable AI analytics; design storage, retrieval, and feature stores.
Enforce Zero-Trust Data Governance with multi-tenant isolation and guardrails.
Optimize economics and performance across data engines and storage.
Lead by example; write core code for critical infrastructure.

🎯 Requirements

12+ years in data engineering/architecture.
Distributed systems: Flink, Spark, Kafka, Pulsar.
Hybrid storage: relational, NoSQL, ClickHouse, DuckDB, Milvus.
Security & infra: encryption, Kubernetes, cloud-native AWS/GCP/Azure.
Lean, hands-on, writes core code in small teams.
Experience with ML-ready data, feature stores, and data lakehouse.

🎁 Benefits

Equal opportunity employer.
Global presence in 100+ countries.

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