Principal Architect, Data

🕒 September 15

🇬🇧 United Kingdom – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 30%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Zencore

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

💼 Consulting

Artificial Intelligence • Cloud Computing • Consulting

Zencore is a premier Google Cloud consulting and engineering firm founded by a team of former Google engineers and executives. The company specializes in data, AI, and cloud migration services, delivering comprehensive implementation and operational solutions. Zencore is a trusted advisor to some of Google Cloud's largest and most complex clients, helping them to reduce risk and ensure success through tailored plans that maximize value and optimize performance. With expertise in Google Cloud services, Zencore provides solutions in infrastructure modernization, application development, machine learning, and artificial intelligence. Zencore's global reach and boutique model ensure a strong collaborative culture and client-focused approach.

📋 Description

• 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 business requirements, data landscapes, and technical challenges, translating them into scalable Google Cloud solutions • 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 • Develop estimates for skills, resources, and timelines required for engagements and translate them into technical proposals • Partner with Data Engineers, Cloud Architects, and AI/ML teams to connect Zencore’s Cloud, Data, and AI capabilities • Establish and evolve architectural standards, reusable patterns, and engineering best practices across the Data practice • Mentor and enable engineers and architects • Support solutioning and pre-sales conversations requiring deep Data expertise, explaining technical approach and business value

🎯 Requirements

• 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 • 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 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 engineering teams and senior client stakeholders • Experience in professional services, consulting, or cloud partner environments is highly desirable • Strong communication skills and ability to explain complex technical decisions to technical and non-technical audiences

🏖️ Benefits

• Equal opportunity employer committed to a diverse and inclusive workplace • Employer does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status • Senior-level technical exposure and opportunities to work on complex Google Cloud engagements

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