Data & Informatica Architect
Design and define complex enterprise data architectures—including Data Warehouses, Data Lakes, and data models—across hybrid cloud and on-premises environments, centered on the Informatica ecosystem (PowerCenter, IDQ, IDMC), SQL Server, Oracle, and major cloud platforms (AWS, Azure, GCP).
- Compensation
- Not disclosed
- Location
- Barcelona, CT, es
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Architecture
- Posted
Skills
Must have
- Strong experience designing complex enterprise architectures
- Microservices and distributed architectures
- Data Warehouse (DWH) and Data Lake architectures
- Hybrid cloud and on-premises architectures
- Advanced data modelling
- Data integration and enterprise integration patterns
- APIs and middleware technologies
- SQL Server and Oracle
- Advanced knowledge of at least one major cloud platform (AWS, Azure, GCP)
- Strong experience with Informatica ecosystem (IDQ, PowerCenter, Informatica Cloud/IDMC)
- Compliance with GDPR and EU AI Act
Nice to have
- CDGC (Cloud Data Governance and Catalog)
- Master Data Management (MDM)
Full description
We are looking for a highly experienced Senior Data & Informatica Architect to design and define complex enterprise architectures across cloud and on-premises environments.
The ideal candidate will have a strong background in data architecture, integration, cloud technologies, Informatica, security, and data governance, with the ability to lead architectural decisions across complex and hybrid technology landscapes.
Key Responsibilities
- Design and define complex enterprise architectures, including microservices, cloud, integration, hybrid environments, Data Warehouses, Data Lakes, and data models.
- Define scalable and secure architecture solutions across cloud and on-premises environments.
- Provide architectural leadership across data, integration, and application initiatives.
- Design and oversee API and middleware architectures, ensuring reliable integration between systems and platforms.
- Define data architectures and data modelling strategies for analytical environments.
- Work with relational databases, including SQL Server and Oracle.
- Ensure solutions meet required standards for security, scalability, performance, and resilience.
- Establish and promote data governance and data security practices, including data lineage, data masking, role management, and access control.
- Ensure compliance with relevant regulations, including GDPR and the EU AI Act.
- Define and manage access to data and technology environments across both cloud and on-premises platforms.
- Evaluate and incorporate emerging technologies where they can provide business or technical value.
- Collaborate with engineering, data, security, DevOps, and business teams to ensure architectural alignment.
- Provide technical guidance and contribute to architecture standards, best practices, and technology roadmaps.
Technical SkillsArchitecture & Data
- Strong experience designing complex enterprise architectures.
- Microservices and distributed architectures.
- Data Warehouse (DWH) and Data Lake architectures.
- Hybrid cloud and on-premises architectures.
- Advanced data modelling.
- Data integration and enterprise integration patterns.
- APIs and middleware technologies.
- SQL Server and Oracle.
Cloud & Infrastructure
Advanced knowledge of at least one major cloud platform, ideally with exposure to: