Lead Data Engineer / Architect (All Genders)

About the role

We are seeking a highly skilled Lead Data Engineer / Data Architect with a strong developer background to design, build, and operate our Security Data Platform. The role focuses on end‑to‑end data management, including ingestion, normalization, storage, processing, and serving solutions for security and observability data.

Key responsibilities

• Lead a team of engineers and developers in implementing the Data Platform.
• Design and architect data ingestion, normalization, storage, processing, and serving solutions.
• Ensure the platform supports observability across the application landscape.
• Collaborate with cross‑functional teams to gather requirements and deliver effective data solutions.
• Monitor and optimise platform performance, scalability, and security.

Required profile

• Bachelor’s or master’s degree in computer science, Data Engineering, or a related field.
• Demonstrated experience designing and implementing large‑scale data platforms.
• Strong leadership and team‑management abilities; project‑management skills are a plus.
• Hands‑on experience with machine‑learning projects.

Required skills

• Kubernetes for container orchestration.
• Apache Kafka for real‑time streaming.
• Apache Flink for stream processing.
• Analytical databases (OLAP) and Massively Parallel Processing architectures.
• Lakehouse architectures such as Apache Iceberg.
• MLOps and ML model delivery pipelines.
• Elasticsearch knowledge.
• Programming languages Java and Python.
• TypeScript, Postgres, Apache Doris, Grafana.

What we offer

We foster an inclusive culture that values diverse backgrounds and perspectives, providing opportunities to develop and grow at your own pace while contributing to scientific and technological progress that impacts millions.