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