Data Architect

Reelu; Barcelona; Presencial; EUR 50.000 - 75.000; Jornada completa

Descripción de la vacante

A talent platform is seeking a Data Architect in Barcelona to design scalable data solutions and define future-state architectures. The ideal candidate will have strong experience in data architecture, including data modeling, and hands-on skills in ETL processes. The role involves collaboration with data teams to promote best practices. Candidates should be familiar with cloud data platforms and data security standards. Apply through the Reelu Talent community today.

Formación

• Strong experience in data architecture, data modeling, and schema design.
• Hands-on experience with ETL/ELT processes, data integration, and building data pipelines.
• Experience designing and implementing data warehouses and data lakes.

Responsabilidades

• Assess the current data platform and define the future-state architecture.
• Design scalable data solutions including data warehouses and modern data pipelines.
• Ensure best practices in data engineering, including coding standards and data accuracy.

Conocimientos

Data architecture

Data modeling

Schema design

Advanced SQL

ETL/ELT processes

Cloud platforms (AWS, Azure, GCP)

Data integration

Data security

Descripción del empleo

This role is being recruited through Reelu, a talent platform that connects top candidates with leading companies in iGaming, fintech, and sportsbook.

We are currently seeking a Data Architect, in Barcelona, for one of our partner companies.

Reelu helps you showcase your experience through a short Storyboard and match with opportunities that fit your skills.

Data Architect

The ideal candidate is a highly technical data professional with strong experience designing scalable data architectures and modern data platforms. They combine deep knowledge of Big Data technologies with strong collaboration skills, working closely with data engineering, BI, and architecture teams to design efficient solutions. The ideal candidate can evaluate current systems, define future-state architectures, and guide teams in implementing best practices for data management and engineering.

Responsibilities

• Assess the current data platform and help define the future-state architecture in collaboration with 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.
• 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.