About the role

AI summarised

We are seeking a seasoned Data Architect to lead the design, adaptation, and implementation of a robust Data Warehouse platform. This role is critical in architecting scalable, unified data solutions that seamlessly combine the strengths of data lakes and warehouses to enable advanced analytics, AI/ML applications, and secure enterprise data access.

Aerospace & DefenseOnsite

Key Responsibilities

Own the Architecture of the Data Warehouse, ensuring architecture diagrams and technologies remain current.
Define data modeling standards for raw, curated, and serving layers.
Develop strategies for data ingestion, storage, cataloging, governance, and secured data access (data-at-rest, data-in-transit).
Lead the design and implementation of ingestion pipelines for structured and unstructured data.
Oversee deployment pipelines using CI/CD best practices for data-oriented infrastructure.
Ensure high availability, scalability, and performance of the technical implementation.
Implement robust data security frameworks including encryption, data masking, and fine-grained access controls.
Define and enforce data governance policies covering data lineage, quality, and regulatory compliance.

Requirements

Bachelor's in Computer Science or Information Technology (Master's preferred).
Strong experience designing highly available data platforms using MinIO as the data storage infrastructure.
Expertise in SQL, data modeling (SCD Type 1, 2, 6), ETL/ELT design, and query performance tuning.
Expertise in containerization and orchestration (Docker, Kaniko, Kubernetes).
Strong expertise in designing ETL & ELT data pipelines for structured or unstructured data, including Change Data Capture.
Expertise in distributed data processing technologies (Apache Spark 3.0, Apache Flink 2.0, Apache Iceberg, Trino, Apache Kafka).
Hands-on experience with scalable data storage platforms (e.g., Azure Data Lake Storage, MinIO S3).
Deep understanding of data security, encryption, IAM, and compliance standards.
Proficiency in programming languages Java 8+ or Kotlin 2.x.
Proficiency with Git-based protocols (Gitlab, Gitea) for Continuous Integration.
Proficiency with Linux command line commands.