:- Information Architect - Snowflake

Location :- Spain, Barcelona

Mode of Work :- Hybrid

Rate :- Open

Technology: Snowflake, dbt, SQL, Python, AWS, Data Architecture, CI/CD

Key Responsibilities

Information & Data Architecture

· Define and maintain enterprise and solution-level information architecture for healthcare data platforms.

· Translate business and analytical requirements into logical, conceptual, and physical data models.

· Design scalable data structures, data domains, data products, and integration patterns.

· Define data flows across source systems, cloud platforms, analytical layers, and downstream consumers.

· Establish architecture standards for data ingestion, transformation, storage, consumption, and lifecycle management.

· Support the development of reusable and scalable data architecture patterns.

Snowflake & Data Platform Architecture

· Design and implement scalable data architectures using Snowflake.

· Define Snowflake database, schema, warehouse, role, and data-sharing strategies.

· Design solutions for structured and semi-structured healthcare data.

· Optimize data models and workloads for performance, scalability, and cost.

· Establish appropriate patterns for data security, access control, data retention, and environment management.

Dbt & Data Transformation

· Define transformation architecture and development standards using dbt.

· Develop and review dbt models, macros, tests, documentation, and dependencies.

· Establish reusable transformation patterns and data quality frameworks.

· Implement data lineage and documentation across transformation pipelines.

· Collaborate with engineering teams to promote modular, maintainable, and testable data pipelines.

SQL & Python

· Develop and review complex SQL queries, data transformations, stored procedures, and analytical data models.

· Use Python for data processing, automation, validation, orchestration, and integration requirements.





· Perform data profiling, analysis, reconciliation, and root-cause analysis.

· Develop utilities and frameworks to improve data engineering and operational efficiency.

AWS Cloud Architecture

· Design and integrate data solutions across AWS cloud services.

· Work with services such as S3, RDS, Redshift, Lambda, IAM, Glue, CloudWatch, and related AWS data services as appropriate.

· Define secure and scalable data movement and integration patterns between AWS and Snowflake.

· Apply cloud architecture best practices for availability, security, scalability, and cost optimization.

CI/CD & DevOps

· Define and implement CI/CD practices for data engineering and architecture components.

· Integrate Git-based source control, automated testing, deployment pipelines, and environment promotion into the data platform lifecycle.

· Establish automated quality gates for SQL, dbt, Python, infrastructure, and data pipeline changes.

· Collaborate with DevOps/platform teams on deployment automation and Infrastructure as Code.

· Support controlled promotion across development, test, UAT, and production environments.

Document Intelligence & Intelligent Data Extraction

· Design and implement Document Intelligence solutions to extract, classify, process, and enrich structured and unstructured documents.

· Build scalable pipelines using Snowflake Cortex, GenAI, AWS, and dbt to convert document content into analytics-ready data.

· Experience with OCR, document parsing, information extraction, summarization, entity extraction,



and metadata generation.

· Implement data-quality, validation, security, governance, and compliance controls for sensitive healthcare documents.

· Optimize document-processing solutions for accuracy, scalability, performance, and cost.

· Collaborate with architecture, data science, AI/ML, and business teams to deliver document-driven use cases

Required Skills & Experience

· Experience in data architecture, information architecture, data engineering, or related technology roles.

· Strong hands-on experience with Snowflake.

· Strong experience with dbt and modern ELT/data transformation architectures.

· Advanced SQL skills.

· Strong Python programming experience.

· Hands-on experience with AWS cloud and data services.

· Strong understanding of data modeling, data warehousing, data lakes/lakehouses, and modern data platforms.

· Experience designing enterprise-scale data pipelines and integration architectures.

· Strong understanding of CI/CD, Git, automated testing, and DevOps practices.

· Experience working with data governance, metadata, lineage, data quality, security, and access-control frameworks.

· Experience producing architecture documentation and communicating technical concepts to diverse stakeholders.

Preferred Skills

· Experience with Snowflake security features including RBAC, masking, row-level access, and secure data sharing.

· Experience with dbt testing, documentation, snapshots, incremental models, and lineage.

· Experience with GitHub Actions, Jenkins, or similar CI/CD platforms.

· Experience with data catalog, metadata management, and data governance tools.

· Knowledge of APIs, event-driven architectures, and cloud-based integration patterns.

This is a high-priority role, and profiles are being reviewed immediately. If you’re interested, please share resume at [email protected]

📌 Information Architect (Barcelona)
🏢 Infoplus Technologies UK
📍 Barcelona