Data Architect - GCP
Not disclosed
Salary
Not disclosed by employer
£54,900
Going rate
Skilled Worker going rate
This role likely qualifies for a Skilled Worker visa
SOC 2133 (90% match) is an eligible occupation, with a going rate of £54,900, and LSA Recruit is a licensed sponsor. That is our reading of the rules. Whether they issue a Certificate of Sponsorship is still their call.
About the role
Job opportunity for Data Architect - GCP Based in London, UK - Fixed Term Contract - Onsite
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 architecuture, 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.
Key Roles & Responsibilities
Workstream 1 – Scope, Drivers & Stakeholder Alignment
- Participate in stakeholder interviews/workshops to understand current-state architecture, pain points, and business drivers (cost, compliance, reporting gaps, AI/analytics ambitions, scalability).
- Help identify and engage data owners, IT/application owners, SMEs, and technical leads across in-scope domains.
- Contribute to scoping decisions on systems, domains, and deliverable cadence.
Worzstream 2 – Data Landscape Inventory
- Catalogue databases, tech stacks, and data processing methodologies across the in-scope estate, including an existing BigQuery-based Data Lakehouse.
- Map data movement across systems (integrations, ETL/ELT, APIs, manual exports) to surface silos and duplication.
- Group data sources by business domain to identify duplicate/unreconciled data entities.
Workstream 3 – Data Health Assessment
- Assess data quality dimensions (completeness, consistency, duplication, accuracy) via interviews and/or sample profiling.
- Evaluate governance maturity: stewardship, ownership, standards, metadata management, and MDM practices.
- Assess security/compliance posture for PII and sensitive data handling.
- Identify architectural and scalability gaps in the current platform.
Workstream 4 – Synthesis & Roadmap
- Consolidate findings into a prioritized, evidence-based inventory and maturity assessment.
- Design the high-level target-state Data Architecture, including a Data Ontology for AI use cases (Customer 360, churn, order prioritization, assurance/NOC, autonomous network, capacity planning, revenue assurance, etc.).
- Finalize the 7-layered target technology stack for future data strategy phases.
- Define a high-level data governance framework (lineage, pipeline, ownership, lifecycle, visualization).
- Support development of the high-level data strategy roadmap and target operating model, and help drive stakeholder signoff.
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
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
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
This description is the source posting as it read when we added it. We are not affiliated with LSA Recruit, so check their own site for the current details.
Where this offer sits in the market
SOC 2133 · UK · ONS ASHE 2025 · ~163k in sampleSimilar sponsored roles
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Does this job guarantee visa sponsorship?
Not necessarily. LSA Recruit holds a sponsor licence, but sponsorship for a specific hire is always the employer's decision. Be upfront in your application that you'll require it.
What salary is needed for this role to be eligible?
The offer must clear both the general threshold and the SOC 2133 going rate of £54,900. New-entrant and shortage discounts can lower it.