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Data Architect (GCP)
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Data Architect Role
We have an exciting job opportunity for a Data Architect role in Reading, UK or London, UK (All 5 days onsite) – Contract/Permanent.
Role
Data Architect
Duration
3 Months to Start
Location
Reading and London
Mode
All 5 days onsite
Job Description
Suggested Experience Range
10–15 years of overall data architecture/engineering experience, with at least 5+ years specifically in data architecture or data strategy consulting/advisory roles, and 2–3 years of hands-on GCP (BigQuery) experience. Telecom domain exposure is a strong plus.
Key Skills Required for the Role
- Data platforms (admin, processing (ETL, scripting), migrating, architecture)
- Articulate, system/data/processes/framework analysis
- Build tools/processes using Python and LLMs
- Should have client-facing experience at architecture, analyst, or DBA level
Overview
We are seeking an experienced Data Architect to support a Data Strategy Discovery engagement for a global telecommunications client, spanning the Customer, Finance, and Network domains. This role will drive the assessment of the current data landscape — including an existing GCP BigQuery-based Data Lakehouse — and help shape a target-state data architecture, technology roadmap, and governance framework. The ideal candidate combines strong technical data architecture skills with stakeholder-facing consulting ability, and has hands-on familiarity with GCP data platforms.
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Tools & Technologies
Must-Have
- Google Cloud Platform (GCP) — BigQuery (Data Lakehouse architecture, performance, scalability)
- Data architecture & modeling (conceptual, logical, physical; domain-driven data modeling)
- ETL/ELT tools and integration patterns (batch, API-based, CDC)
- Data governance & metadata management concepts (data catalogs, MDM, lineage tools)
- Data quality assessment/profiling methods and tools
- Experience with data architecture in Telecom or similarly complex enterprise environments
- Strong stakeholder engagement, interviewing, and documentation skills (architecture diagrams, inventories, roadmaps)
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Good-to-Have
- Experience with GCP ecosystem tools beyond BigQuery: Dataflow, Data Fusion, Dataplex, Vertex AI, Cloud Composer
- Exposure to AI/ML data enablement and data ontology design for AI use cases
- Knowledge of GDPR and telecom-specific regulatory/compliance frameworks
- Experience with legacy on-prem data warehouse/lake platforms and hybrid cloud migration
- Familiarity with data governance/compliance frameworks (DAMA-DMBOK, DCAM)
- Prior consulting/advisory experience delivering data strategy assessments (vs. pure implementation)
- Familiarity with telecom OSS/BSS systems and network data domains
Contact Information
For more info, please contact mahanthi@Lsarecruit.co.uk
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