Data Platform Lead

ARC IT Recruitment
Manor Park, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Manor Park, United Kingdom

Tech stack

Artificial Intelligence
Information Engineering
Data Sharing
Data Warehousing
Azure
Data Strategy
Data Management
Databricks

Job description

Talented Data Platform Lead is sought by prestigious wealth management organisation. You will play a pivotal role in shaping a shared enterprise data model across multiple business divisions and regions.

This role goes beyond traditional data engineering. It requires someone who can bridge deep technical expertise with strong commercial awareness, working closely with senior business stakeholders to align data initiatives with an overarching data strategy.

You will help guide the integration of data across multiple divisions and geographies, driving consistency, clarity, and long-term value from complex and often fragmented data landscapes., * Lead and shape the definition of a shared data model across wealth and asset management divisions

  • Guide the integration of data from multiple systems into a unified, enterprise-wide model
  • Work closely with regional data and AI leads (UK, France, Switzerland) to ensure local initiatives align with the global data strategy
  • Partner with business stakeholders to understand requirements, define data concepts, and build alignment across differing viewpoints
  • Perform gap analysis on existing data models and pipelines to identify issues, risks, and opportunities
  • Lead data model decisions, propose initial structures, and evolve them collaboratively
  • Build and contribute to high-quality data products that support reporting, analytics, and strategic initiatives
  • Balance hands-on technical contribution with leadership, influence, and stakeholder management

Requirements

  • 10+ years' experience in data, analytics, or data engineering roles
  • Broad exposure to modern data engineering tools and architectures (eg Azure Data Factory, Databricks, lakehouse or data warehousing patterns)
  • Background in wealth management, asset management, or broader financial services
  • Proven delivery of enterprise-scale data initiatives across multiple business divisions
  • Strong experience designing and evolving shared enterprise data models
  • Demonstrated ability to reconcile data from multiple disparate systems into a unified model
  • Hands-on experience building modern, cloud-based data platforms and data products
  • Confident working directly with business stakeholders to define data requirements and resolve ambiguity

Benefits & conditions

  • Opportunity to shape a greenfield and evolving shared data model at enterprise scale
  • High visibility role with influence across multiple regions and business lines
  • A chance to move beyond pure delivery into strategic data leadership
  • Strong scope for internal growth and progression as the data function matures

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