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.
Location: We are looking for candidates in the UK (London Preferred)
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Act as the senior technical referent for complex Data engagements, owning key architecture decisions and ensuring successful technical delivery.
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Work directly with clients to understand their business requirements, data landscape, and technical challenges, translating them into scalable solutions on Google Cloud.
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Define architectures across data platforms, pipelines, modeling, integration, governance, security, and scalability.
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Remain a hands-on technical practitioner, supporting engineering teams with complex implementation challenges and unblocking delivery when needed.
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Develop estimates around the skills, resources, and timelines required to deliver Zencore engagements and translate these into clear technical proposals.
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Partner closely with Data Engineers, Cloud Architects, and AI/ML teams to design solutions that connect Zencore’s Cloud, Data, and AI capabilities.
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Help establish and evolve architectural standards, reusable patterns, and engineering best practices across the Data practice.
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Mentor and enable engineers and architects, helping raise the technical bar across the organization.
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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
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Deep experience designing and delivering enterprise-scale data architectures in complex cloud environments.
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Strong hands-on experience with the Google Cloud data ecosystem, particularly BigQuery.
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Advanced SQL skills and strong experience with Python.
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Strong experience with modern data engineering and orchestration technologies such as dbt, Airflow / Cloud Composer, and related tools.
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Experience designing scalable data platforms, pipelines, data models, and integration patterns.
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Strong understanding of data governance, security, quality, lineage, and observability.
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Ability to translate complex business and data requirements into a clear technical vision, architecture, and delivery roadmap.
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Ability to move comfortably between high-level architectural thinking and hands-on technical execution.
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Strong software engineering fundamentals and understanding of development best practices.
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Experience leading large-scale data modernization and transformation initiatives.
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Strong stakeholder management skills, with the ability to influence both engineering teams and senior client stakeholders.
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Experience in professional services, consulting, or cloud partner environments is highly desirable.
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Strong communication skills and the ability to explain complex technical decisions clearly to both technical and non-technical audiences.
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We Are Trusted Experts: Our teams bring deep, hands-on experience to solve the hardest cloud and AI challenges.
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We Value Candor: We share unbiased opinions and aren't afraid of hard truths—our clients view us as true subject matter experts.
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We Are the Missing Link: We connect our enterprise clients directly to Google Cloud innovation, moving with agility where larger consultancies stall out.
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We Remove Uncertainty: We bring structured playbooks that eliminate risk from complex cloud migrations and AI deployments.
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We Show Empathy: We build lasting client trust because we understand the real-world operational complexities of enterprise technology.