Design migration pipelines using Azure Data Factory;
Support mapping and transformation of data between ServiceNow and Salesforce;
Define Salesforce architecture for solutions such as Service Cloud, Financial Services Cloud (FSC), Digital Engagement, and Experience Cloud;
Support architectural decisions involving single org strategy, security, permissioning, and logical segregation;
Design integrations between Salesforce and external systems (Talkdesk, AWS, Helix, Jira, SAP, RPA, IAM);
Provide guidance on data models, taxonomy, case management, automations, and SLAs;
Act as a technical reference for development and consulting teams;

Proven experience as an architect or engineer on large-scale Salesforce projects;
Knowledge of Service Cloud, Experience Cloud, and Digital Engagement;
Experience with systems integration and API
and event-driven architectures;
Knowledge of governance, security, and permissioning in Salesforce;
Experience with Azure (Data Factory, Big Data services, and databases);
Experience with data integration and migration between systems (e.g., ServiceNow);
Ability to translate business requirements into scalable technical solutions;

Multi-benefit card – choose how and where to use it.
Tuition assistance/scholarships for undergraduate, postgraduate, MBA, and language courses.
Certification incentive programs.
Flexible working hours.
Competitive salaries.
Annual performance review with a structured career plan.
Opportunity for international career development.
Wellhub and TotalPass.
Private pension (retirement plan).
Childcare allowance.
Medical insurance.
Dental insurance.
Life insurance.

Salesforce Data Engineer

Key skills