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Senior Salesforce Data Cloud Specialist

Make It Good


Job Location:

Cape Town - South Africa

Monthly Salary: Not provided by the employer
Posted: 1 July 2026 (30+ days ago)
Application Deadline: 28 September 2026
Vacancies: 1 Vacancy

Job Summary

Location: Cape Town Northern Suburbs
Work model: Hybrid (3 days in-office 2 days from home). Relocation assistance available for the right candidate.
Salary: R1.3 - R1.5 mill CTC

Why youd want to work here..

  • Join a business investing heavily in its Salesforce platform with real budget and real backing behind the data strategy
  • Retirement fund medical aid and a profit bonus paid twice yearly (4.5%17% of annual salary performance-dependent)
  • Annual salary reviews
  • Flat structure first-name culture no titles no hierarchy games everyone from specialist to CEO wears the same name tag
  • Strong grow together ethos with lateral movement encouraged and boomerang staff welcomed back with open arms
  • Genuine autonomy this is a standalone specialist track not a cog in a bigger pod

About our client..
Our client is one of South Africas largest retailers and theyre on a mission to build a true single source of truth for their customer data. With a loyalty programme spanning millions of members and a fast-growing data monetisation arm this is a rare chance to architect the data backbone behind a business at serious scale and to be the technical authority the wider team leans on to get it right.

What the job involves..

  • Architecting activation-ready data flows from POS fintech and loyalty systems with a strong focus on data velocity
  • Designing and maintaining Data Model Object (DMO) mapping strategy and relational data models underpinning unified customer profiles
  • Building high-performance segments and deploying propensity and churn models into actionable Data Cloud segments
  • Translating segmentation capabilities and data insights into accessible non-technical formats for marketing stakeholders
  • Owning data accuracy and compliance including full variance reconciliation and zero POPIA non-compliance incidents
  • Implementing and maintaining consent management and suppression flows feeding into Marketing Cloud exclusion logic
  • Driving real-time business actions with a high success rate of Data Actions triggering journeys in Marketing Cloud
  • Building and maintaining data pipelines that feed campaign performance dashboards
  • Presenting data architecture decisions platform health metrics and consumption reports to senior and executive stakeholders
  • Working largely autonomously with a helicopter view of the platform and a genuine curiosity for what can be improved

What you need to be considered..

  • Bachelors degree in Computer Science Information Technology Data Analytics or a related field
  • Minimum 5 years experience in Data Architecture Data Engineering or the Salesforce ecosystem
  • 3 years hands-on experience specifically within Salesforce Data Cloud
  • Proven track record in a high-volume retail or fintech environment managing millions of records (banking/financial services backgrounds also welcome)
  • Expert SQL proficiency for complex Data Cloud Calculated Insights (PostgreSQL/Amazon Redshift syntax)
  • Expert understanding of data modelling DMO mapping and relational data models
  • Comprehensive knowledge of the MarTech ecosystem including Data Clouds interaction with Marketing Cloud and Personalisation (Interaction Studio)
  • Strategic understanding of identity resolution (fuzzy vs exact matching logic)
  • Practical application of POPIA and GDPR compliance within data architecture
  • Experience with REST API and streaming ingestion into Data Cloud
  • Strong stakeholder engagement skills comfortable working across multiple areas of the business

Bonus points if you..

  • Hold a Salesforce Data Cloud Consultant certification (a strong plus though real-world experience matters more than the badge)
  • Hold a Salesforce Data Architect or Marketing Cloud Consultant certification
  • Have familiarity with event-driven or real-time streaming technologies (e.g. Kafka GCP Pub/Sub Dataflow Apigee)
  • Understand GCP and Salesforce Data Cloud integration patterns including the BigQuery zero-copy connector