> Markdown version of [/jobs/ext/4630363-lead-data-solutions-architect](https://www.wearedevelopers.com/jobs/ext/4630363-lead-data-solutions-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Solutions Architect - **Company:** Roche - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Data Analysis, Data Architecture, Information Engineering, Data Systems, Data Vault Modeling, Data Warehousing, Dimensional Modeling, Identity and Access Management, Python (Programming Language), Performance Tuning, Data Mesh, Talend, Data Classification, Snowflake, Gitlab-ci, Data Pipelines, GXP - **Published:** November 8, 2026 - **Apply:** https://www.adzuna.es/details/5957584152 ## About the Role Data Architecture & Mesh Mastery (Required): Proven track record of designing and implementing Data Mesh architectures, managing cloud platforms like Snowflake (AWS is an advantage), and managing Data Products in complex enterprise environments Advanced Data Modeling & Ingestion (Required): Deep hands-on experience designing scalable enterprise data models utilizing Data Vault 2.0 methodology and dimensional modeling, paired with expertise in Python, dbt, GitLab CI/CD, Talend, and API ingestion Data Quality & Observability Focus (Required): Extensive experience applying data quality standards across entire data pipelines, with strong familiarity with observability principles to ensure system health Stakeholder Engagement & Advisory (Required): Ability to act as a courageous, trusted advisor to business stakeholders, navigating complex data conversations with clarity and data-driven insights Technical Leadership (Required): Demonstrated ability to guide, influence, and elevate the technical standards of data engineering teams in a fast-paced environment ## Description The specific office days may vary depending on business needs, such as workshops, conferences, town halls, team meetings, and other collaborative events. This role is embedded within our core Diagnostics division, where we bridge scientific curiosity with technical excellence to build a decentralized, enterprise-wide data ecosystem. As a technical cornerstone, you will act as the bridge between global technology and local business, working side-by-side with Data Domain Leads and Product Owners to transform raw data into trustworthy data products. Joining our team offers a unique opportunity to shape a sustainable, data-driven future that accelerates life-changing solutions for patients worldwide. The opportunity Architectural Leadership: Drive the overarching design of Data Mesh architectures and integrated data solutions from source identification to the final data product, ensuring full lifecycle alignment with business needs Data Product Delivery & Governance: Lead the definition and implementation of reusable, discoverable, and well-governed Data Products while ensuring strict compliance with access management, data classification, audit traceability, and regulatory standards (e.g., GxP, GDPR) Cross-Functional Collaboration: Partner dynamically with Data Domain Leads, Sub-Domain Leads, and Data Product Owners to translate complex business requirements into robust, scalable data architecture proposals Team Leadership & Technical Mentorship: Direct and mentor a dedicated delivery team of external data engineers, elevating technical standards and fostering a culture of ownership and continuous improvement Technology & Pipeline Optimization: Innovate and optimize domain data processes, focusing on pipeline design and enterprise data modeling strategies to meet system and user requirements Modern Data Stack Execution: Oversee end-to-end data pipeline buildout and cloud performance optimization using Python, dbt, GitLab CI/CD, Talend, and API consumption