• As part of the Data Engineering team, you will be responsible for design, development and operations of large-scale data systems operating at petabytes scale. • You will be focusing on real-time data pipelines, streaming analytics, distributed big data and machine learning infrastructure. • You will interact with the engineers, product managers, BI developers and architects to provide scalable robust technical solutions.

• Diseñar y desarrollar soluciones de datos alineadas con la visión de Arquitectura de Datos. • Crear y optimizar ETLs, ELTs y APIs para manejo eficiente de datos. • Implementar estrategias de testing para validar calidad funcional y no funcional. • Proponer mejoras continuas en procesos y productos de datos. • Resolver incidencias técnicas y documentar soluciones conforme a estándares. • Mentorizar y apoyar el onboarding de nuevos integrantes del equipo.

• Design, build, and optimize end-to-end ETL pipelines for legal data from multiple jurisdictions, including cleaning, transformation, chunking, validation, embedding, and ingestion into vector databases • Work extensively with XML-based legal data feeds: parse, validate, normalize, and transform XML structures into scalable internal schemas and unified document formats • Develop and maintain data models and storage schemas that support continuously updated datasets while ensuring consistency, scalability, and accuracy across diverse datasets and large amounts of data • Coordinate data handover and integration from multiple internal and external data providers, including official sources, APIs, and web scraping pipelines, ensuring reliable and timely updates • Implement and continuously refine metadata enrichment strategies to maximize searchability, ranking quality, and relevance of legal information in vector databases. • Build and maintain a high-performance search and retrieval infrastructure enabling agent-based systems to call search functions and retrieve the most relevant legal information efficiently • Collaborate with product, AI, and legal domain experts to deliver high-quality, reliable data solutions • Own the data integration of one jurisdiction end-to-end

• Design, document, and maintain Axiom's enterprise data model, ensuring coherence and consistency across disparate systems and platforms. • Establish and enforce data governance policies, data quality standards, and associated assurance mechanisms to ensure the reliability and integrity of organizational data assets. • In coordination with the VP, Enterprise Applications, define and maintain the data architecture roadmap, including effort scoping, dependency identification, and alignment with enterprise technology strategy. • Directly manage the Data Engineer; provide technical mentorship, set priorities, and support professional development. • Serve as the primary data architecture liaison to the Product, Operations, and Data Science functions. • In coordination with the VP, Enterprise Applications, evaluate and determine the technology stack for AI solutions and other data initiatives. • Collaborate with the VP, Enterprise Applications and Integrations Lead to reconcile roadmap priorities and ensure integration-produced data meets enterprise data model standards. • Participate collaboratively in the design and implementation of Model Context Protocol integrations, enabling AI tooling to access Axiom's information assets. • Administer and govern the Databricks environment in coordination with the Data Engineer. • Establish and maintain data documentation standards: entity definitions, lineage, ownership, and access policies.