Salesforce Data Architect

Company: Careerwise
Apply for the Salesforce Data Architect
Location: London
Job Description:

Salesforce Data Architect

Remote (UK)

Salary – Upto £110K

We’re seeking a Salesforce Data Architect to lead the design and evolution of our enterprise-wide data ecosystem, transforming siloed data into a modern, scalable Lakehouse architecture that drives business insights, analytics, and AI innovation.

The Opportunity

As Senior Salesforce Data Architect, you will:

? Design and implement unified data models across customer, product, and financial domains

? Lead the evolution of our Databricks Lakehouse architecture, including Bronze, Silver, and Gold layers

? Define data architecture connecting Salesforce (CRM), Sage Intacct (ERP), and product telemetry data

? Establish golden record standards, master data management, and data governance frameworks

? Improve data quality, consistency, and trust across the organisation

? Enable end-to-end Lead-to-Cash visibility through integrated CRM and ERP data

? Develop scalable data onboarding and integration strategies for acquisitions and M&A activity

? Support AI/ML, analytics, and Business Intelligence initiatives through robust data foundations

? Drive modern engineering practices including Data-as-Code, CI/CD, and event-driven architectures

Must Have

? 5+ years’ experience in a Senior Data Architect role

? Strong expertise with Databricks and Lakehouse architectures

? Experience designing enterprise-scale data models across multiple business systems

? Deep understanding of Salesforce data architecture and integration patterns

? Experience with cloud ERP platforms such as Sage Intacct, NetSuite, or Workday

? Strong SQL, data modelling (ERD), and data transformation expertise

? Proven experience with data governance, data quality, and master data management

? Experience delivering data integration and migration strategies within M&A environments

? Knowledge of Unity Catalog and Medallion architecture design patterns

? Ability to communicate complex technical concepts to both technical and non-technical stakeholders

Can Have

  • AI/ML data readiness and advanced analytics enablement
  • Event-driven architectures, APIs, and Real Time data pipelines
  • Git-based version control and CI/CD for data workflows
  • Product analytics and SaaS telemetry data integration

Posted: June 3rd, 2026