Azure Data Engineer SQL - Hybrid Working
4 days ago
Barcelona
Data Architect (Azure, Databricks, Data Platform & Products) We are looking for a Data Architect to join a modern, cloud-based data platform team within an international environment. In this role, you will contribute to the design, evolution, and implementation of a scalable data platform on Azure , while also working on data products aligned with business domains . You will operate at the intersection of data engineering and architecture , translating business needs into robust, scalable, and well-governed data solutions. Depending on your experience, you will either drive architectural decisions end-to-end or contribute to the design and implementation of data products within a broader architecture . You will collaborate with cross-functional teams (Data, Product, Business) and play a key role in shaping how data is structured, governed, and consumed across the organization. If you enjoy working with modern data platforms, designing data models, and building impactful data solutions — this could be a great fit. Design and evolve data architecture and data models within a Lakehouse environment (Azure + Databricks) Translate business requirements into scalable data products and domain-oriented models Work with Medallion Architecture (Bronze, Silver, Gold) and modern data modeling patterns (Kimball, SCDs, hierarchical data) Contribute to the design and implementation of data pipelines (batch & streaming) using tools like Data Factory and Airflow Ensure performance, scalability, and cost optimization of data workloads Support and/or lead the evolution of the data platform (Delta Lake, Unity Catalog, governance frameworks) Define and implement data governance standards , including data quality, metadata, lineage, and access control Collaborate with stakeholders to define data contracts, SLAs, and data quality expectations Contribute to data cataloging and metadata management (DataHub, Atlan, OpenMetadata, etc.) 4+ years of experience in Data Engineering / Analytics Engineering / Data Architecture Strong expertise in SQL and solid understanding of data modeling principles Azure (Data Factory, Storage, cloud data services), Databricks (Spark, Delta Lake), Apache Airflow Lakehouse architecture and Medallion design, Data modeling patterns (dimensional modeling, SCDs, domain-driven approaches), ETL / ELT pipelines and data transformation Experience working with cloud-based data platforms Ability to think in terms of data products and data domains , not only datasets Fluent English ✨ Experience with Unity Catalog, data governance, and access control (RBAC, IAM) Exposure to data quality frameworks (Great Expectations, Soda) Experience with data catalog tools (DataHub, Atlan, OpenMetadata, Alation) Knowledge of Python / PySpark Experience with Salesforce, SAP, or other operational systems Background in AdTech or digital environments Experience with BI tools (Power BI, Tableau, Looker) Barcelona – Hybrid (flexible model) Why join this project? Modern cloud platforms and large-scale, global projects. 1200 per year training budget and continuous learning opportunities. Private health insurance and benefits package. ⚡ Flexible working hours and hybrid model. ️ Team buildings, global events, and strong tech communities. Apply now and be part of a global team driving cloud innovation and security. Information Security Notice The employee will have access to confidential information related to Capitole and the assigned project.