Salesforce Data Cloud Engineer

Belgrad
Charków
Dnipro
Erywań
Kijów
Kluż-Napoka
Kraków
Larnaka
Łódź
Lublin
Lwów
Monterrey
Montevideo
Odesa
Remote.AR
Remote.Brazil
Remote.Bulgaria
Remote.Colombia
Remote.Georgia
Remote.Poland
Rosario
Ryga
Sofia
Tbilisi
Warna
Warszawa
Wrocław

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Project overview

The Salesforce Data Cloud Senior Developer will focus on building and maintaining a scalable customer data foundation to support Salesforce Marketing Cloud activation in a B2B environment. This includes data ingestion, identity resolution, customer profile unification, and data modeling aligned with CRM activation needs.

Position overview

This highly technical role involves architecting and implementing Data Cloud solutions that unify customer data across multiple sources and enable activation readiness. The ideal candidate will have hands-on Salesforce Data Cloud implementation experience, strong data modeling skills, and a backend-oriented architectural mindset.

Responsibilities

Configure and support the Salesforce Data Cloud environment and Customer 360 setup.
Design unified customer profile structures and implement identity resolution logic.
Manage data ingestion using batch, streaming, and manual methods from external systems, including APIs and data lakes (Snowflake, Databricks, Amazon Redshift, etc.).
Develop scalable, activation-ready data models that support segmentation, lead scoring, and lifecycle marketing.
Support synchronization and data flow architecture between CRM, Data Cloud, and external platforms (e.g., Meta Ads, Google Ads, LinkedIn Ads).
Validate and troubleshoot data ingestion, synchronization, and integration processes.
Support API and connector configurations to ensure data quality and mapping consistency.
Perform technical governance, QA validations, and deployment support.

Requirements

Hands-on experience with Salesforce Data Cloud and Customer 360 architecture.
Expertise in data modeling, identity resolution, and customer profile unification.
Strong API integration skills and knowledge of Salesforce CRM data models.
Experience with data ingestion, synchronization logic, and SQL-based data transformation.
Proven technical troubleshooting and backend problem-solving capabilities.
Architecture-focused mindset with experience working in complex CRM ecosystems.

Nice to have

Experience with Salesforce Marketing Cloud implementations and CRM activation use cases.
Knowledge of segmentation, lifecycle marketing, and CDP implementations.
Experience with activation datasets and personalization strategies.
Familiarity with Salesforce ecosystem integrations and related tools.