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Principal Engineer at Ardanis. We are seeking Principal/Senior Engineers to architect, build, and optimize large-scale big data platforms. The role focuses on distributed processing, storage systems, data governance, and streaming pipelines. You will lead the design and implementation of high-performance analytics environments using Spark, Hive, Impala, Iceberg, Kafka, Ozone, and other storage technologies.. Responsibilities:. Design, develop, and optimize distributed data pipelines for batch and streaming workloads. . Manage and maintain data storage and governance frameworks, including Iceberg tables, Ozone object storage, and metadata management. . Lead the deployment and tuning of Spark, Hive, and Impala clusters for high-performance analytics. . Architect and implement streaming data pipelines using Kafka and other messaging platforms. . Ensure data reliability, consistency, and compliance across enterprise-scale platforms. . Collaborate with data engineers, analysts, and infrastructure teams to optimize platform performance and scalability. . Mentor and provide technical guidance to junior engineers, promoting best practices in data architecture and governance.. Extensive experience with Spark, Hive, Impala, and Iceberg for batch and streaming analytics. . Hands-on expertise in Kafka, Ozone, distributed storage, and cloud/on-premises data platforms. . Strong understanding of data modeling, governance, and metadata management. . Experience optimizing big data pipelines for throughput, latency, and resource efficiency. . Familiarity with data security, compliance, and access control frameworks. . Proven experience in mentoring and leading technical teams. . Excellent problem-solving skills and experience in large-scale enterprise environments. Company Location: Hungary.