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Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB

Databricks London, United Kingdom

Salary

£60,000 – £90,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
28 May 2026 (Last week)

DATA PLATFORM MANAGER

UP TO £90,000

LIVERPOOL STREET, LONDON

OVERVIEW

We are hiring a Data Product Manager to join a fast-growing, PE-backed telecommunications business undergoing a major data transformation.

This is a high-visibility role focused on shaping and delivering data products that support commercial growth, analytics enablement, real-time data, and AI use cases across multiple markets.

THE COMPANY

Our client is a rapidly scaling telecommunications business with significant investment in Digital, Data, and Analytics.

The data function is mature, highly regarded, and central to future growth. The business is investing in a modern data platform, including next-generation data lake capabilities, real-time analytics, AI-enabled use cases, and improved self-service reporting.

RESPONSIBILITIES

  • Own the end-to-end lifecycle of data products, from discovery to delivery and iteration
  • Define and manage the data product roadmap
  • Act as the link between business stakeholders, data engineering, analytics, and technology teams
  • Translate commercial and technical requirements into scalable data solutions
  • Support delivery of modern data platform initiatives, including real-time data capabilities
  • Enable analytics and market teams to self-serve data more effectively
  • Support use cases across customer insight, churn, ARPU, profitability, and network optimisation
  • Communicate product updates, priorities, and roadmap progress to stakeholders
  • Support incident management and platform-related administration where required

SKILLS AND EXPERIENCE

  • 3-5 years' experience in data-focused roles
  • Strong hands-on experience with Databricks
  • Experience with modern data platforms such as Synapse, Snowflake, BigQuery, or Redshift is beneficial
  • Background in data product, data engineering, business analysis, analytics, or platform delivery
  • Strong understanding of how data platforms support business outcomes
  • Excellent communication and stakeholder management skills
  • Confident, commercially minded, and able to challenge where needed
  • Consultancy or data transformation experience would be highly attractive

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.