Robert Walters
Data Platform Architect (GCP|

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Data Platform Architect (GCP)
Location: London (onsite 3 days per week)
Position: Permanent, Full-Time
Package: Competitive Salary + Comprehensive Benefits Package
No sponsorship offered by hiring company
As a Data Platform Architect (GCP), you will play a critical role in designing, implementing, and managing our data management infrastructure, ensuring it supports our strategic goals and operational needs, specifically in relation to our Google Cloud (GCP) data platform.
About the Role
- End-to-end data architecture design, evolving our existing GCP-based data platform architecture to meet strategic goals whilst enabling the platform to be scalable, robust, and secure.
- Support the data engineering team with implementing architectural, process, or pattern changes, implementing monitoring, alerting, and logging strategies for the data platform to ensure high reliability and quick incident response.
- Work with data governance, security, and privacy teams to embed their requirements into solutions and repeatable data engineering patterns.
- Oversee and provide guidance to the data teams in implementing ETL processes using Terraform, dbt, and Airflow to streamline data flow.
- Champion DataOps practices across the data team, focusing on automated testing, continuous integration/continuous deployment (CI/CD), and monitoring for data pipelines and infrastructure.
- Continuously assess and improve the data architecture to enhance performance, scalability, and security.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
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Experience Required:
- Experience as a Data Architect (this role is 60% architecture work - 40% hands-on Data engineering)
- Data Architecture Background: Proven experience as a Data Solutions Architect, Data Engineering Manager, or Lead Data Engineer with cloud-based data lakes and warehouses.
- GCP Expertise: Strong technical knowledge of Google Cloud Storage (GCS), Google BigQuery (GBQ), Airflow.
- Security & Privacy: Practical experience building information security, data access, retention, and vulnerability management into data architecture.
- Stakeholder Management: Ability to assess internal team needs, design appropriate solutions, and influence technical direction.
- Communication: Clear written and spoken communication skills, with the ability to explain complex technical concepts to non-technical teams.
Benefits & Perks
- Annual Leave: 30 days of annual leave per annum plus public bank holidays.
- Holiday Purchase: Scheme option to purchase up to an additional 5 days of leave.
- Pension Scheme: Age-related employer pension contributions ranging between 8% and 12%.
- Health & Medical: Fully funded, single-cover private healthcare.
- Income Protection: Comprehensive income protection cover for long-term peace of mind.
- Life Cover: Life assurance coverage included as part of your standard employment package.
- Family Support: Enhanced parental leave policies covering Maternity, Paternity, Adoption, and Shared Parental Leave.


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If interested in this Data Platform Architect (GCP) position, please apply with your latest CV clearly showing experience with the skills listed above.
No sponsorship offered by hiring company so applicants must have UK RTW.
Desired Skills and Experience
- Experience Required:
- Experience as a Data Architect (this role is 60% architecture work - 40% hands-on Data engineering)
- Exceptional communication skills to speak to teams and stakeholders of all levels
- Previous experience in data platform engineering (GCP or AWS or Looker)
- Must have previous exposure with Google Cloud Platform (GCP), Google BigQuery (GBQ), Airflow, and DBT/Fivetran
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