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Lead Consultant UK | GCP | Data & AI/ML Pre-Sales Architect
Devoteam
LondonFull-timeMid LevelOn-site
Job Description
Overview
In this role you help clients maximise Google Cloud Platform value by shaping data and AI/ML architectures. You’ll lead delivery teams on complex projects, design fit-for-purpose architectures, and develop technical and solution documents. You’ll contribute to frameworks, assist sales, and mentor juniors while staying current with industry trends.
This is a hands-on, impact-driven position at a top Google Cloud partner that values innovation and customer success.
Pay / Benefits- work from home options
- London office
- private healthcare insurance
- pension
- team building activities
- continuous training and development
- Conduct GCP Data Architecture and AI/ML workshops
- Lead delivery teams to ensure complete implementation of projects
- Deliver complex technical designs and architectures
- Design architectures aligned with customer requirements and constraints
- Create solution architecture and technical design documents
- Contribute to development of frameworks and service concepts
- Assist in sales to new and existing customers
- Foster continuous learning and mentor juniors
- Stay updated with current trends
- Computer science degree
- Extensive hands-on experience with Google Cloud Platform
- Two or more Google Cloud Professional Certifications: Cloud Architect, Data Engineer, Database Engineer, Machine Learning Engineer
- Experience with Data Lakes, ETL, BigQuery, Cloud Composer, Dataflow, Dataproc, Cloud SQL, BigTable, Spanner
- Proficiency in writing Terraform code
- Experience setting up CI/CD pipelines for data and ML projects
- Coding/scripting skills: Python, Go, C/C++
- Experience with DBT and/or Dataform
- Experience with Dagster, Airbyte, Fivetran and/or Hightouch
- English proficiency; UK work eligibility
- Soft skills: ability to present to business and technical stakeholders, build client relationships, strong time management, mentoring
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- Presenting to business and technical stakeholders
- Building long-term client relationships
- Time management and prioritisation
- Google Cloud Platform (GCP) expertise
- Data Lakes and ETL
- BigQuery
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