> Markdown version of [/jobs/ext/2930058-principal-architect-data](https://www.wearedevelopers.com/jobs/ext/2930058-principal-architect-data). 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). --- # Principal Architect - Data - **Company:** Zencore - **Location:** London, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Data Analysis, Big Data, BigQuery, Cloud Computing, Data Architecture, Information Engineering, Data Governance, Dataspaces, Python (Programming Language), Google Cloud, Cloud Platform System, Sql Optimization, Kubernetes, Data Management - **Published:** September 16, 2026 - **Apply:** https://www.workingnomads.com/job/go/1866361/ ## About the Role * Deep experience designing and delivering enterprise-scale data architectures in complex cloud environments. * Strong hands-on experience with the Google Cloud data ecosystem, particularly BigQuery. * Advanced SQL skills and strong experience with Python. * Strong experience with modern data engineering and orchestration technologies such as dbt, Airflow / Cloud Composer, and related tools. * Experience designing scalable data platforms, pipelines, data models, and integration patterns. * Strong understanding of data governance, security, quality, lineage, and observability. * Ability to translate complex business and data requirements into a clear technical vision, architecture, and delivery roadmap. * Ability to move comfortably between high-level architectural thinking and hands-on technical execution. * Strong software engineering fundamentals and understanding of development best practices. * Experience leading large-scale data modernization and transformation initiatives. * Strong stakeholder management skills, with the ability to influence both engineering teams and senior client stakeholders. * Experience in professional services, consulting, or cloud partner environments is highly desirable. * Strong communication skills and the ability to explain complex technical decisions clearly to both technical and non-technical audiences. ## Description We are looking for a Principal Architect, Data to provide senior technical leadership across our Data practice and client engagements. This is a highly technical, client-facing role for someone who can move comfortably between enterprise data architecture, hands-on technical execution, and strategic conversations with customers. At Zencore, Principal Architects are senior technical leaders and the external face of our engineering expertise. They own the end-to-end technical direction and successful technical delivery of complex engagements, while helping define the standards, patterns, and capabilities that allow our engineering organization to scale., * Act as the senior technical referent for complex Data engagements, owning key architecture decisions and ensuring successful technical delivery. * Work directly with clients to understand their business requirements, data landscape, and technical challenges, translating them into scalable solutions on Google Cloud. * Define architectures across data platforms, pipelines, modeling, integration, governance, security, and scalability. * Remain a hands-on technical practitioner, supporting engineering teams with complex implementation challenges and unblocking delivery when needed. * Develop estimates around the skills, resources, and timelines required to deliver Zencore engagements and translate these into clear technical proposals. * Partner closely with Data Engineers, Cloud Architects, and AI/ML teams to design solutions that connect Zencore's Cloud, Data, and AI capabilities. * Help establish and evolve architectural standards, reusable patterns, and engineering best practices across the Data practice. * Mentor and enable engineers and architects, helping raise the technical bar across the organization. * Support solutioning and pre-sales conversations when deep Data expertise is required, helping customers understand both the technical approach and business value of the proposed solution