Job description

Job Requirements Key Responsibilities: • Architecture & Strategic Design: Lead the solution architecture and technical roadmap for Salesforce Data 360 integration across enterprise systems, ensuring scalable data ingestion, lakehouse storage, and zero-copy federation. • Data Modeling & Harmonization: Design data streams, map Data Source Objects (DSOs) and Data Lake Objects (DLOs) to standard Customer 360 Data Model Objects (DMOs), and define extensible custom schemas where required. • Identity Resolution & Unification: Architect identity resolution rulesets, match and reconciliation criteria, and golden profile configurations to deliver a single, consolidated 360-degree customer view. • Data Activation & Integration: Design data activation targets across Salesforce Core (Sales, Service, Marketing Cloud Engagement) and external platforms using zero-copy / data sharing patterns (e.g., Snowflake, Databricks, BigQuery). • Governance, Privacy & Security: Establish data governance protocols, lineage tracking, and compliance rule sets to safeguard sensitive PII/PCI data within the Data 360 platform. • Collaboration & Leadership: Partner with enterprise IT leads, data engineering teams, and business stakeholders to translate operational objectives into concrete technical deliverables. Required Skills & Qualifications • Core Expertise: Deep architectural and hands-on experience with Salesforce Data 360 (Data Cloud / CDP), including ingestion, modeling, identity resolution, calculated insights, and segmentation/activation. • Enterprise Integration: Strong experience with Zero-Copy architecture, API integration, data lakehouse patterns (Apache Iceberg/Parquet), and real-time streaming connectors. • Data Platform Knowledge: Familiarity with modern enterprise data lakes and warehouses (e.g., Snowflake, AWS S3, BigQuery) and ETL/ELT pipelines. • Technical Mastery: Solid foundation in SQL, metadata-driven architecture, and data modeling concepts. Certifications (Preferred) • Salesforce Certified Data Cloud / Data 360 Consultant • Salesforce Certified System Architect or Application Architect

Requirements

Must-haves

Job Requirements
Data Modeling & Harmonization: Design data streams, map Data Source Objects (DSOs) and Data Lake Objects (DLOs) to standard Customer 360 Data Model Objects (DMOs), and define extensible custom schemas where required.
Identity Resolution & Unification: Architect identity resolution rulesets, match and reconciliation criteria, and golden profile configurations to deliver a single,
consolidated 360-degree customer view.
Governance, Privacy & Security: Establish data governance protocols, lineage tracking, and compliance rule sets to safeguard sensitive PII/PCI data within the Data 360 platform.
Collaboration & Leadership: Partner with enterprise IT leads, data engineering teams, and business stakeholders to translate operational objectives into concrete technical deliverables.
Required Skills & Qualifications
Core Expertise: Deep architectural and hands-on experience with Salesforce Data 360 (Data Cloud / CDP), including ingestion, modeling, identity resolution, calculated insights, and segmentation/activation.
Enterprise Integration: Strong experience with Zero-Copy architecture, API integration, data lakehouse patterns (Apache Iceberg/Parquet), and real-time streaming connectors.
Data Platform Knowledge: Familiarity with modern enterprise data lakes and warehouses (e.g., Snowflake, AWS S3, BigQuery) and ETL/ELT pipelines.
Technical Mastery: Solid foundation in SQL, metadata-driven architecture, and data modeling concepts.
Salesforce Certified Data Cloud / Data 360 Consultant
Salesforce Certified System Architect or Application Architect

Nice-to-haves

Certifications (Preferred)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

apiawssql

Platform: phenom
Effort: medium