Data Lakehouse Architect

Job Summary : SEACORP is seeking a Data Lakehouse Architect to lead the design, implementation, and evolution of a modern, tiered data platform that supports scalable ingestion, storage, processing, governance, and analytics. This position is in support of our SWFTS Data Strategy and Data Pipeline program. This role will define the target-state architecture for a lakehouse environment built on technologies including Kafka, Apache Iceberg, Amazon S3, CEPH, and Trino, while ensuring the platform is secure, performant, reliable, and cost-effective. The architect will partner with engineering, platform, analytics, security, and business teams to establish architectural standards, guide implementation, and enable high-quality data products across batch and streaming domains. The ideal candidate combines deep technical expertise in distributed data systems with strong design judgment, leadership, and the ability to translate business requirements into durable platform capabilities. Job Responsibilities Include: Design and document lakehouse architecture using Kafka for streaming ingestion, Iceberg for table format and data management, S3 and/or CEPH for object storage, and Trino for distributed SQL query access. Define architecture for data partitioning, compaction, schema evolution, metadata management, table maintenance, and lifecycle policies. Architect data ingestion frameworks for both real-time and batch workloads, including event-driven and CDC-based integration patterns. Establish scalable, resilient, and secure storage patterns across cloud and on-premises or hybrid object storage environments. Define governance patterns including access control, encryption, data retention, lineage, auditability, and compliance integration. Partner with data engineers to optimize query performance, file sizing, partitioning strategy, and workload concurrency in Trino and related engines. Lead engineering teams and review designs, code, and deployment approaches for alignment with target architecture.