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# Data Architect

- **Company:** Reelu Talent
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Security, Data Warehousing, DevOps, Meta-Data Management, NoSQL, Cloud Services, SQL Databases, Enterprise Data Management, Privacy Controls, Sql Optimization, Data Lakes, Non-relational Database, Video Streaming, Data Pipelines
- **Published:** July 15, 2026
- **Apply:** https://es.trabajo.org/oferta-3206-300fa212b4e4a38d64e4105f350897ac

## About the Role

Advanced SQL skills and experience with relational and non-relational databases (SQL and NoSQL). - Hands-on experience with ETL/ELT processes, data integration, and building data pipelines. - Experience with cloud data platforms such as AWS, Azure, or GCP. - Understanding of modern data stacks, streaming technologies, and large-scale data processing. - Familiarity with data governance, lineage, metadata management, and enterprise data lifecycle practices. - Knowledge of data security, privacy standards, and compliance frameworks. How to Apply Register to Reelu Talent community and get matched today - Upload your CV - Create your Storyboard - Once your Storyboard is live, apply to this role in the "Jobs" tab Joining Reelu also means you may be considered for future opportunities with our partner companies.

## Description

data engineering and architecture teams. - Design scalable data solutions including data warehouses, data lakes, and modern data pipelines. - Conduct gap analysis to identify improvements and guide implementation of the data platform roadmap. - Stay up to date with emerging Big Data technologies and communicate relevant innovations to the team. - Ensure best practices in data engineering, including coding standards, data accuracy, validity, and reusability. - Collaborate with stakeholders across data engineering, BI, governance, and DevOps to support architecture decisions. - Support estimation and refinement sessions by sizing large technical initiatives. - Contribute to project planning, architecture discussions, and peer review processes to promote collaboration and knowledge sharing. Qualifications - Strong experience in data architecture, data modeling, and schema design. - Experience designing and implementing data warehouses, data lakes, and enterprise data frameworks. -


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