Principal Data Architect (Databricks & AI)

Join our team as a Principal Data Architect, where you will play a key role in defining the architecture, standards, and delivery patterns for a modern data platform. You will be the senior technical authority for data architecture within our strategic transformation, working closely with product, engineering, AI, security, platform, and business leaders. This is an architecture-led role that remains practically engaged through prototyping, proof-of-concepts, technical reviews, and the resolution of complex engineering challenges.

• Definir y ser responsable de la arquitectura de datos objetivo, los estándares, los patrones de referencia y la hoja de ruta técnica para una capacidad de datos empresarial estratégica.
• Diseñar una base de datos moderna de Databricks lakehouse que permita el uso seguro y escalable de datos en un paisaje de productos complejo.
• Establecer patrones de medallón escalables en las capas de Bronce, Plata y Oro, incluida la ingestión, transformación, almacenamiento, servicio y consumo.

• Strong experience in data privacy and security, including data masking, anonymisation, tokenisation or comparable privacy-preserving patterns for sensitive or customer data
• Credibility with hands-on engineers and senior stakeholders, with strong judgement across speed, scale, governance, cost and usability
• Experience with batch and real-time integration, including APIs, CDC, streaming or event-driven pipelines
• Experience with governance, cataloguing, lineage, quality, metadata, access control and secure multi-tenant or customer-data environments
• Significant experience as a Data Architect, Lead Data Architect, Principal Data Engineer or comparable senior technical leader
• Strong data-modelling expertise across conceptual, logical, physical, dimensional and canonical models
• A strong data-engineering or software-development foundation using Python, SQL, Scala, Java and/or Spark
• Advanced, hands-on Databricks experience in production environments, including lakehouse architecture, Delta Lake and relevant governance, workflow, SQL and optimisation capabilities
• Deep experience with Azure data services. AWS experience is advantageous as the platform expands
• Proven ownership of modern data platforms or data products from architecture through production delivery and operation
• Production AI/ML or generative-AI data architecture, including RAG, embeddings, vector search or model-data pipelines
• Knowledge graphs, ontologies, RDF, linked data or advanced semantic technologies
• Tools such as dbt, Kafka, Airflow, Terraform, Power BI, Tableau, Collibra or Microsoft Purview
• Databricks or cloud architecture/data-engineering certification
• Architecture across multiple products, domains or business units in B2B software, information services, consulting or regulated environments