8+ years of experience in data architecture, data modeling, or enterprise data warehouse design in an enterprise environment. Strong handson expertise with data modeling frameworks: Kimball, Inmon, Data Vault Deep proficiency in SQL, dimensional modeling, canonical modeling, and metadata management. Experience building and optimizing models for Snowflake, including clustering, micropartitioning, and schema optimization. Handson experience with dbt (Core or Cloud) and ability to define modeling layers (staging, intermediate, marts). Strong understanding of ingestion & transformation patterns (batch, ELT, streaming). Experience with AWS analytics stack: S3, IAM, Lambda, EMR/PySpark, MWAA, EKS, Iceberg/Lakehouse architectures. Exposure to integration/ETL tools (Informatica, Talend, ODI, SSIS) and batch ingestion frameworks such as StreamSets. Familiarity with CI/CD, Infrastructure as Code (Terraform), and Gitbased development. Knowledge of data quality frameworks, governance, and security best practices. Ability to translate architectural patterns into accurate implementation estimates and detailed specifications. #J-18808-Ljbffr
A leading technology solutions provider based in Dublin is seeking a seasoned data architect with over 8 years of experience in data architecture and data modeling. The candidate should have a strong understanding of AWS analytics stack and hands-on experience with data modeling frameworks such as Kimball and Inmon. Proficiency in SQL and tools like dbt is essential, alongside significant experience with Snowflake. This position offers the opportunity to work in a dynamic environment with advanced data solutions. #J-18808-Ljbffr
