Salesforce Data 360 Engineer

Quick Facts

Salesforce Data 360 Engineer role focused on building data-driven Salesforce solutions for Customer 360 use cases.

Role description

Design and implement Salesforce Data 360 capabilities including data modeling, data integration, identity resolution, and calculated insights, supported by automations and API-based integrations.

Responsibilities

• Develop data-driven solutions on the Salesforce platform for data modeling, data integration, and Customer 360 use cases.
• Implement Data Streams, Data Model Objects (DMOs), Data Lake Objects (DLOs), Identity Resolution, and Calculated Insights.
• Build Flows and automations to support efficient, traceable processes.
• Continuously optimize platform performance and stability.
• Connect data structures, automations, and API-based integrations.
• Apply AI in software engineering to create modern solutions using Salesforce platform potential.

Requirements

• Proven experience developing data-driven Salesforce solutions in complex platform environments
• Hands-on experience with Salesforce Data 360 and Customer 360 use cases
• Knowledge of data integration and merging data across multiple systems
• Strong understanding of Data 360 components: Data Streams, DMOs, DLOs, Identity Resolution, Calculated Insights
• Good knowledge of Salesforce Marketing Cloud and Salesforce Core
• Experience with Flows, automations, and API-based integrations
• Analytical, structured approach to derive technical solutions from complex requirements
• Independent, quality-conscious working style
• German at C1 level and English at B2 level

Benefits

• Innovative environment with flexible working hours and hybrid work
• Workation options in European locations and sabbatical options
• Additional vacation days and learning/development opportunities
• Company pension plan, employer benefits, and various discounts