{"id":3645571,"url":"https://alion.io/job/pep-online-senior-salesforce-data-cloud-specialist","title":"Senior Salesforce Data Cloud Specialist","company":{"id":2593855,"name":"PEP Online","domain":"pepstores.com","url":"https://alion.io/company/pepstores","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"MCI DirectHire","truth_index":{"grade":"B","score":80,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cape Town, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Rest API","optional":false},{"name":"Salesforce Data Cloud","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Apex","optional":true},{"name":"PostgreSQL","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-11T12:00:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-13T01:24:44Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"Job Description\nAre you an architectural expert ready to build the \"Single Version of Truth\" for one of South Africa's largest retailers? PEP is seeking a highly skilled Senior Salesforce Data Cloud Specialist to join our team and become the custodian of our customer data revolution.This role is pivotal in strategically ingesting, harmonizing, and activating millions of customer data points to enable real-time, data-driven customer engagement. You will ensure our data architecture is high-performing and cost-effective, directly managing Salesforce Consumption Model efficiency and maximizing ROI on Flex Credits\nJob Requirements\nKey Responsibilities\nStrategic Data Architecture & Ingestion: Architect \"Activation-Ready\" data flows from POS, Fintech, and Loyalty systems, while ensuring a high data velocity. Design and maintain the Data Model Object (DMO) mapping strategy and relational data models that underpin unified customer profiles.\nTechnical Segmentation & Insight Enablement: Build high-performance segments and deploy Data Science propensity and churn models into actionable Data Cloud segments, reducing time-to-market for complex audience creation. Surface segmentation capabilities and data insights to marketing stakeholders in accessible, non-technical formats\n\nData Integrity & Compliance: Act as the final authority on data accuracy, ensuring 100% variance reconciliation and zero incidents of POPIA non-compliance, including successful automation of \"Right to be Forgotten\" requests. Implement and maintain consent management and suppression data flows that feed correctly into Marketing Cloud exclusion logic\n\nOperational Automation: Drive real-time business actions with a >95% success rate of Data Actions triggering journeys in Marketing Cloud.\n\nReporting, Analytics & Stakeholder Enablement:Build and maintain data pipelines that feed campaign performance dashboards in Marketing Intelligence (new SKU previously known as MCI) on Salesforce core platform. Present data architecture decisions, platform health metrics, and consumption reports to senior and executive stakeholders\n\nRequired Knowledge, Skills and Competencies\nBachelor’s Degree in Computer Science, Information Technology, Data Analytics, or a related field.\n\nA Salesforce Data Cloud Consultant certification is required.\n\nA Salesforce Data Architect or Marketing Cloud Consultant certification would be an added advantage.\n\nMinimum 5 years of experience in Data Architecture, Data Engineering, or the Salesforce Ecosystem.\n\n3+ years of hands-on experience specifically within Salesforce Data Cloud.\n\nProven track record in a high-volume Retail or Fintech environment managing millions of records.\n\nExpert SQL Proficiency for complex Data Cloud Calculated Insights (PostgreSQL/Amazon Redshift syntax).\n\nExpert understanding of Data Modeling, DMO mapping, and relational data models.\n\nComprehensive knowledge of the MarTech Ecosystem, including Data Cloud interaction with Marketing Cloud and Personalization (Interaction Studio).\n\nStrategic understanding of Identity Resolution (fuzzy vs. exact matching logic).\n\nLiteracy in consumption-based software models and budget optimization.\n\nPractical application of POPIA and GDPR compliance within data architecture.\n\nExperience with REST API and Streaming Ingestion into Data Cloud\n\nKnowledge of Marketing Cloud Connect configuration and Connected Audiences setup\n\nFamiliarity with event-driven architecture or real-time streaming technologies (e.g., Kafka, GCP Pub/Sub, Dataflow, Apigee) for POS/Fintech source system integration\n\nUnderstanding of GCP and Salesforce Data Cloud integration patterns, including BigQuery zero-copy connector, GCP-based data pipelines feeding Data Cloud, and the strategic value of the GCP + Salesforce \"Better Together\" approach to hyper-personalisation\n\nWe are looking for a candidate with a strong blend of technical expertise and commercial acumen in a high-volume retail or fintech environment.\n\nCompetencies: Devotion to quality, Structuring, Performing under pressure, Initiative, Leadership, Organisational sensitivity, Innovating, Analysing and forming opinions\nClosing date: Friday, 12 June 2026\nIf you are interested and meet the minimum requirements, please submit your CV.\nIf you do not hear from us within 4 weeks of the closing date of this position, please regard your application as being unsuccessful.\nPEP strives for equal opportunity in terms of its employment equity guidelines.","description_format":"text","description_chars":4470,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Consumer Goods","Cosmetics & Makeup","Home 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