TL;DR

Salesforce Data 360 Functional Consultant: Deliver functional analysis, data modeling, and configuration of Salesforce Data Cloud solutions with an accent on data ingestion, segmentation, and identity resolution. Focus on designing functional architectures, validating data pipelines, and supporting technical and business teams in a collaborative agile environment.

Company

%hirify_global% is a global experience innovation company blending data, AI, creativity, and technology to drive transformation for leading organizations.

What you will do

Translate business requirements into Data 360 solutions through functional analysis and data modeling.
Configure ingestion, transformation, harmonization, and identity resolution rules.
Build and validate segments, insights, and activations within Salesforce ecosystems.
Contribute to architecture design and best practices for data solutions.
Prepare functional documentation, blueprints, and test cases.
Support technical and business teams with demos, explanations, and handover to operations.

Requirements

2–3 years of experience in Salesforce/Data functional roles with proven expertise in Data Cloud and Customer Data Platforms.
Strong knowledge of data modeling, ingestion, mapping, unification, and segmentation including deterministic and probabilistic rules.
Understanding of Salesforce architecture (Sales, Service, Marketing Cloud) and data governance including PII handling.
Experience with agile methodologies (Scrum, Kanban) and excellent functional documentation skills.
Advanced English proficiency required.

Nice to have

Salesforce Data Cloud Consultant and other Salesforce certifications.
Experience with Snowflake, ETL/ELT, BigQuery, or similar tools.
Background in consulting firms or multi-client projects.
Familiarity with functional design tools like Miro, Lucidchart, Confluence.

Culture & Benefits

Flexible remote and hybrid work options depending on country.
International career advancement and professional development programs.
Access to cutting-edge tools, training, and industry experts.

Hiring process

Application review by Talent Acquisition team.
Next steps communicated if skills and experience align.
Focus on skills, experience, and potential without requiring personal data like age or photo.