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Job Summary:
SEACORP is seeking a well-qualified Data Lakehouse Architect to lead the design, implementation, and evolution of a modern, tiered data platform. This role will define the target-state architecture for a lakehouse environment and partner with various teams to establish architectural standards and enable high-quality data products.
Responsibilities:
• 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.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 7+ years of experience in data engineering, data architecture, or platform architecture roles.
• 3+ years of experience designing and implementing modern data lake or lakehouse architectures in production environments.
• Hands-on experience with Apache Kafka for streaming data ingestion, event architecture, or real-time data integration.
• Hands-on experience with Apache Iceberg or a similar open table format in large-scale analytical environments.
• Experience designing data platforms on object storage, including Amazon S3, CEPH, or equivalent S3-compatible storage systems.
• Experience with Trino or similar distributed SQL query engines for interactive analytics over large datasets.
• Strong understanding of distributed systems principles, including scalability, fault tolerance, consistency tradeoffs, and performance tuning.
• Experience with data modeling, schema design, partitioning strategy, and optimization for analytical workloads.
• Experience with security architecture including role-based access control, encryption, and data governance controls.
• Experience creating architecture documentation, technical standards, and implementation roadmaps.
• Strong knowledge of batch and streaming pipeline patterns, including CDC, event-driven design, and ingestion orchestration.
• Required knowledge of Atlassian Tool Suite, Git, and Linux.
• Ability to work in a fast-paced work environment.
• Able to collaborate with others while being able to handle independent tasking.
• Ability to learn new technologies quickly.
Preferred:
• Master’s degree in Computer Science, Data Engineering, Distributed Systems, or a related field.
• Desired knowledge in the areas of Databases, SQL and No-SQL (Postgres, MongoDB), Apache Data Frameworks (Kafka, Spark, Iceberg, OpenMetadata, Ranger), Data Infrastructure (Ceph, S3, MinIO/Parquet, REST, Nessie, Druid), Data APIs (Trino, Metabase, MLLib, Superset).
• Experience with Team Submarine, SWFTS, US Navy program offices, TI/APB cycle.
• Experience with metadata catalogs such as Hive Metastore, AWS Glue Catalog, Nessie, or Polaris.
• Familiarity with data processing engines such as Spark, Flink, or dbt in lakehouse environments.
• Experience implementing data quality, observability, and lineage tooling.
• Experience supporting hybrid or multi-cloud data architectures.
• Familiarity with Kubernetes-based deployment and platform operations.
• Experience with regulated data environments and compliance frameworks such as SOC 2, HIPAA, PCI-DSS, or FedRAMP.
• Exceptional Qualifications: Candidates possessing knowledge in these technologies will be considered exceptional candidates including Kubernetes, RKE2, containerization, Helm, AI/ML APIs, SparkML, AI/ML Integration (LLM Development Stack), DPCN training, PINN training, or agentic development integration.
• Recognized expertise designing enterprise-scale lakehouse platforms using open standards and interoperable tooling.
• Experience delivering software and systems for Team Submarine or SWFTS programs, including experience with the Submarine platform tactical systems.
• Deep production experience with Kafka + Iceberg + Trino architectures, including performance optimization and operational scaling.
• Experience building platforms that span cloud and on-premises object storage, especially S3 and CEPH in hybrid deployments.
• Demonstrated success leading architecture for high-volume, low-latency, and mission-critical data ecosystems.
• Ability to make principled architectural decisions regarding catalogs, table maintenance, file formats, compaction, and query federation.
• Strong record of mentoring senior engineers and establishing architecture review processes and engineering standards.
• Experience leading major data platform migrations from legacy warehouse, Hadoop, or tightly coupled ETL ecosystems to modern lakehouse architectures.
• Ability to balance long-term architectural integrity with pragmatic delivery timelines and business value.
Company:
SEACORP corporation is a veteran-owned business focusing on systems engineering. Founded in 1981, the company is headquartered in Middletown, USA, with a team of 501-1000 employees. The company is currently Late Stage.