Enterprise Data Architect & Platform Lead

Wealthtime

Bath

Hybrid

GBP 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Hybrid Working
34 days holiday + 5 days buy/sell
Yearly discretionary bonus
Private Medical + family option
Pension scheme
Season ticket loans

Job summary

Wealthtime is seeking a strategic Enterprise Data Manager to define the data roadmap and lead the build of the Group’s data warehouse and pipelines. You will collaborate with technology, operations, and business stakeholders to embed strong governance, data standards, and a data-driven culture across the organisation.

The role combines strategic guidance with hands-on delivery, driving data integrity, security, and value from data assets while supporting analytics, reporting, and data science

Qualifications

  • Strong experience defining and delivering enterprise data strategies.
  • Experience with Wealth Management systems and data.
  • Deep understanding of data architecture, modelling, and governance frameworks.
  • Hands-on experience building data warehouses and data pipelines.
  • Experience with modern data-lake technologies — ideally Microsoft Fabric, Azure Data Lake, or similar.
  • Strong knowledge of data integrity, quality tooling, and metadata management.
  • Ability to translate business needs into data solutions and actionable insights.
  • Strong organisational and stakeholder-management skills, with the ability to work across multiple teams and business units
  • A background in IT operations and an understanding of IT Infrastructure, Cloud, and M365 environments.
  • Experience in a multi-entity or group environment.

Responsibilities

  • Define the enterprise data strategy and multi-year roadmap aligned to Group objectives.
  • Establish the vision for data platforms, governance, architecture, and analytics capabilities.
  • Ensure data initiatives support regulatory, operational, and commercial priorities.
  • Design and own the enterprise data architecture, including data models, integration patterns, and platform design.
  • Establish and maintain data standards, taxonomies, and metadata frameworks.
  • Ensure architectural decisions support scalability, security, and interoperability across Group companies.
  • Implement and lead data governance across the Group, including policies, controls, and stewardship models.
  • Define and monitor data quality rules, lineage, and integrity processes.
  • Work with business teams to ensure data ownership, accountability, and compliance.
  • Lead the adoption and optimisation of Microsoft Fabric (or equivalent modern data-lakehouse tooling).
  • Own the Group’s data platforms, including lakes, warehouses, and analytics environments.
  • Build and maintain the enterprise data warehouse, including ingestion pipelines, transformation logic, and modelling.
  • Support advanced analytics, reporting, and data science initiatives.
  • Partner with business teams to identify opportunities to leverage data for insight, automation, and improved decision making.
  • Provide guidance on data-driven initiatives, KPIs, and analytical use cases.
  • Promote a culture of data literacy and responsible data usage.
  • Ensure data platforms and processes meet regulatory and security requirements.
  • Maintain data-related risk registers and support audit activity.
  • Work closely with Information Security on data protection and access controls.

Skills

Data strategy
Data architecture
Data governance
Data pipelines
Data modelling
Microsoft Fabric
Azure Data Lake
Data quality
Stakeholder management
Cloud / IT operations

Job description

Wealthtime is seeking a strategic Enterprise Data Manager to define the data roadmap and lead the build of the Group’s data warehouse and pipelines. You will collaborate with technology, operations, and business stakeholders to embed strong governance, data standards, and a data-driven culture across the organisation.

The role combines strategic guidance with hands-on delivery, driving data integrity, security, and value from data assets while supporting analytics, reporting, and data science

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