Senior Data Architect - Bunhill

WeDoTech

Greater London

Hybrid

GBP 90,000 - 120,000

Full time

14 days+
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Job summary

WeDoTech in London is seeking a Senior Data Architect to drive a six-month contract on a hybrid basis, with three on-site days. You will shape the evolution of a large cloud-based data ecosystem and work across distributed data platforms to align with ML/AI goals.

The role demands deep engineering credibility, hands-on architecture across technical and senior stakeholder levels, and expertise with AWS, Spark/PySpark, Airflow, and data governance in regulated environments.

Qualifications

  • Proven experience in enterprise-scale data architecture for cloud platforms.
  • Hands-on architectural delivery across large distributed data ecosystems.
  • Experience with AWS cloud data platforms and Spark/PySpark.
  • Familiarity with Airflow and ELT/data processing pipelines.
  • Knowledge of data lakehouse architectures and data products.
  • Exposure to streaming and event-driven data architectures.
  • Experience with data governance and design reviews.
  • Ability to engage senior stakeholders and engineers alike.
  • Experience enabling ML/AI platforms in regulated environments is a plus.

Responsibilities

  • Shape the evolution of a large-scale, cloud-based data ecosystem.
  • Act as a technically hands-on architect across complex distributed platforms.
  • Influence architecture direction across multiple engineering and data teams.
  • Operate effectively at technical and senior stakeholder levels.

Skills

Enterprise-scale data architecture
Data governance
Data lakehouse & data products
Streaming & event-driven architecture
Architecture standards & reviews
ML/AI platform enablement
Senior stakeholder communication
Cloud-native data platforms
Regulated environment experience

Tools

Airflow
AWS
PySpark
Spark
Python
AI
Cloud

Job description

Salary: £? - ? per year

Requirements:
  • Enterprise-scale data architecture experience
  • Experience with AWS cloud data platforms
  • Experience with Spark, PySpark, and Python
  • Experience with Airflow and ELT/data processing
  • Experience with data lakehouse and data products
  • Experience with streaming and event-driven architecture
  • Experience with data governance
  • Experience with architecture standards, patterns, and technical design reviews
  • Experience delivering data architecture that enables ML/AI platforms
  • Deep engineering credibility with the ability to operate at both technical and senior stakeholder level
  • Financial Services or another highly regulated environment experience is advantageous
Responsibilities:
  • Help shape the evolution of a large-scale, cloud-based data ecosystem
  • Work as a technically hands-on architect across complex distributed data platforms
  • Influence architecture direction across multiple engineering and data teams
  • Operate at both technical and senior stakeholder level
Technologies:
  • AI
  • Airflow
  • AWS
  • Architect
  • Cloud
  • Python
  • PySpark
  • Spark
More:

We are a major UK organisation offering an initial 6-month contract for a Senior Data Architect in London on a hybrid basis, with 3 days onsite. This is an inside IR35 role focused on shaping the evolution of a large-scale, cloud-based data ecosystem, and we are looking for someone with strong engineering credibility who can contribute across complex distributed data platforms and senior stakeholders.

last updated 38 week of 2026

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