Principal Architect, Data
New
Z
ZencoreGoogle Cloud Consultancy
We are looking for candidates in the UK (London Preferred)Full-TimePrincipal
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLApache AirflowCloud ComputingGCPData engineeringSoftware EngineeringBigQuerydbt
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 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.
Responsibilities
- 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.
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