Data Architect (m/f/d)

About the Job

The Data Architect will own the architectural design of the cyber data platform and its data pipelines. The platform is live and in daily use; this role will shape how it evolves. The role combines data architecture expertise, a strong grasp of modern Azure data technologies, an understanding of the regulatory requirements that apply to sensitive security data, and the ability to work with security architects, platform teams and data owners to agree the right patterns.

You will be responsible for setting best practice in data flows and pipeline design, assessing and introducing new platform capabilities needed for analytics (including AI and machine learning features), and ensuring the platform continues to meet security and regulatory expectations as it moves from Azure Synapse to Azure Databricks.

What you do

- Define the target architecture for the cyber data platform and the standard patterns for ingestion, transformation, modelling and serving of data. Define and promote best practice for data flows and pipeline design across the platform, ensuring solutions are consistent, scalable and maintainable.
- Produce reference designs that data engineers can reuse, and review their solution designs for consistency and quality. Shape the architecture and migration approach for the move from Azure Synapse to Azure Databricks.
- Assess new platform features required for analytics, such as AI and machine learning services, generative AI tooling, streaming and data governance capabilities. Run or support proofs of concept, make clear adoption recommendations and maintain a technology roadmap for the platform. Keep the platform cost-effective and performant as data volumes and the number of use cases grow.




- Ensure the architecture meets regulatory requirements for handling sensitive and personal data (for example GDPR and financial-sector resilience regulation) and Allianz data classification and access-control standards. Design for data lineage, retention, quality and auditability, and support audit and regulatory requests with evidence from the platform
- Work with security architects and other stakeholders to identify the right pipeline development pattern for each new use case. Partner with the central data team that onboards new data sources, agreeing interfaces, standards and responsibilities. Represent the platform in architecture governance and explain design choices to engineers, security specialists and leadership.
- Work in an agile team: contribute to backlog refinement, sprint planning and reviews, and take ownership of items from start to finish. Collaborate daily with colleagues in other disciplines and locations, sharing knowledge and helping where the team needs it most. Document architecture decisions in a lightweight, reviewable form that keeps pace with delivery.
- You will be a strong collaborator who enjoys working in a multidisciplinary, multi-geography team and builds trusted relationships across technical and non-technical colleagues. Comfortable in a fast-paced environment with changing priorities,



able to balance quality with momentum. Takes ownership and sees work through to a usable outcome rather than handing it on half-finished. Pragmatic and curious, with sound judgement and attention to detail as well as the ability to hold a long-term architectural view while helping the team solve technical challenges and focus on delivery.

What you bring

- Advanced experience designing cloud data platforms and data pipelines in analytics platforms, including Azure Synapse and Databricks (Delta Lake, Spark, Unity Catalog or equivalent governance tooling). Experience assessing and introducing new data and AI technologies into an existing platform.
- Strong data modelling skills and experience defining data standards, governance, lineage and quality practices. A good understanding of regulatory and security requirements for sensitive data in a regulated industry.
- Experience working with security or enterprise architects and with engineering teams to agree and implement design patterns. Experience of agile ways of working and of documenting architecture in a lightweight manner.
- Strong communication skills in English, with the ability to explain technical design to non-technical audiences.
- Cyber security domain knowledge, for example vulnerability management, identity and access management, security operations or control assurance.
- Desirable: Programming or data engineering background, with applied knowledge in python, sql and other languages; Familiarity with Power BI semantic modelling and what makes a dataset performant for reporting; Experience with the wider Azure ecosystem, such as Data Factory, Fabric or AI Foundry and e

📌 Data Architect (Barcelona)
🏢 Allianz Technology SE Spain Branch
📍 Barcelona