Salesforce Data 360 Consultant

VISEO ASIA; Manila; On-site; PHP 1,100,000 - 1,900,000; Full time

Job summary

VISEO ASIA is seeking an experienced Salesforce Data Cloud engineer to design and implement Data Cloud (Data 360) solutions within our nearshore delivery model. You will work on CRM/CDP architecture, data flows, and data pipelines while ensuring governance and data quality across multi-time-zone teams.

You will also build components like Data Streams, Identity Resolution, Unified Profiles, and Calculated Insights, and activate data across MC Next, Tableau Next, and related platforms.

Qualifications

• Bachelor's degree in CS/IT/Engineering or related field.
• 3–5 years' experience with CDP/Customer 360 or data platform engineering, with hands-on Salesforce Data Cloud experience.
• Proven experience implementing Data Cloud solutions, including Data Streams, DLOs, DMOs, Identity Resolution, Unified Profiles, and Calculated Insights.
• Strong understanding of CRM/CDP architecture, customer data modeling, data integration, and enterprise data governance principles.
• Experience building and supporting large-scale data pipelines, including ingestion, transformation, enrichment, monitoring, and quality assurance.

Responsibilities

• Design and implement Salesforce Data Cloud (Data 360) solutions, including CRM/CDP architecture, data flows, connectors, ingestion pipelines, and release management.
• Build and configure Data Cloud components including Data Streams, data mappings, connectors, DLOs, DMOs, Unified Profiles, Identity Resolution, and Calculated Insights.
• Engineer and monitor data pipelines for cleansing, transformation, enrichment, reliability, and data quality.
• Create audience segments and activate Data Cloud data into MC Next, Agentforce, Tableau Next, and related platforms.
• Establish and enforce data governance standards through profiling, validation, anomaly detection, lineage tracking, and schema management.
• Collaborate with architects, stakeholders, and business teams to deliver scalable end-to-end customer data solutions and maintain clear technical documentation.
• Support deployment planning, sandbox strategy, release management, and post-implementation support within a nearshore, multi-time-zone delivery environment.

Skills

Salesforce Data Cloud

CDP architecture

Data pipelines

Data governance

Documentation

Stakeholder communication

Release management

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field

Tools

Tableau Next

Marketing Cloud Next

Agentforce

Job description

• Design and implement Salesforce Data Cloud (Data 360) solutions, including CRM/CDP architecture, data flows, connectors, ingestion pipelines, and release management.
• Build and configure Data Cloud components including Data Streams, data mappings, connectors, DLOs, DMOs, Unified Profiles, Identity Resolution, and Calculated Insights.
• Engineer and monitor data pipelines for cleansing, transformation, enrichment, reliability, and data quality.
• Create audience segments and activate Data Cloud data into MC Next, Agentforce, Tableau Next, and related platforms.
• Establish and enforce data governance standards through profiling, validation, anomaly detection, lineage tracking, and schema management.
• Collaborate with architects, stakeholders, and business teams to deliver scalable end-to-end customer data solutions and maintain clear technical documentation.
• Support deployment planning, sandbox strategy, release management, and post-implementation support within a nearshore, multi-time-zone delivery environment.

Profile

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field.
• 3-5 years of experience in CDP, Customer 360, or data platform engineering, with hands-on Salesforce Data Cloud experience.
• Proven experience implementing Data Cloud solutions, including Data Streams, DLOs, DMOs, Identity Resolution, Unified Profiles, Calculated Insights, and audience activation.
• Strong understanding of CRM/CDP architecture, customer data modeling, data integration, and enterprise data governance principles.
• Experience building and supporting large-scale data pipelines, including ingestion, transformation, enrichment, monitoring, and quality assurance.
• Strong communication and documentation skills, with the ability to work effectively with both technical and business stakeholders.
• Experience working within global or multi-time-zone delivery teams.

Nice to Have

• Experience with Marketing Cloud Next (MC Next).
• Exposure to Agentforce, CRM Analytics, Tableau Next, or Marketing Cloud Intelligence (Datorama).
• Understanding of marketing, customer engagement, and customer data activation use cases.