Lead implementation of Salesforce Data Cloud and manage data integration across systems, ensuring compliance and optimizing data pipelines.
Company Description
👋🏼We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (17700+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in.
Job DescriptionREQUIREMENTS:
- Total Experience 5+ years
- strong hands-on experience in Salesforce Data Cloud.
- Proven expertise in data modeling, ingestion, harmonization, and identity resolution within a CDP environment.
- Strong understanding of the Salesforce ecosystem, including Marketing Cloud, Sales Cloud, and Service Cloud.
- Experience integrating Salesforce Data Cloud with enterprise data platforms such as AWS, Azure, Google BigQuery, Snowflake, or on-prem systems.
- Solid knowledge of ETL frameworks, APIs, middleware, and MDM concepts.
- Experience working with large-scale, high-volume data environments and complex data landscapes.
- Ability to translate business objectives into actionable CDP use cases supporting personalization, automation, segmentation, and analytics.
- Strong communication skills with experience in customer-facing roles
RESPONSIBILITIES:
- Writing and reviewing great quality code
- Lead end-to-end implementation of Salesforce Data Cloud (CDP), including data modeling, ingestion, harmonization, identity resolution, and segment activation.
- Design, build, and optimize scalable data ingestion pipelines using Data Streams, connectors, APIs, and integrations with enterprise systems.
- Develop and manage Data Lake Objects (DLOs), Data Model Objects (DMOs), and Calculated Insights to support analytics and activation use cases.
- Configure and maintain identity resolution, matching rules, and golden customer profiles across multiple data sources.
- Create and manage segments, real-time audiences, insights, and activations for Marketing, Sales, and Service use cases.
- Collaborate with integration and data engineering teams on ETL processes, MDM, APIs, and middleware to ensure seamless data flow.
- Work closely with business stakeholders to gather requirements and translate them into scalable CDP technical solutions.
- Ensure adherence to data governance, data quality, privacy, consent management, and security best practices.
- Enable Data Cloud–driven personalization across Marketing Cloud, Sales Cloud, Service Cloud, and external activation platforms.
- Troubleshoot and resolve data ingestion issues, mapping errors, identity conflicts, and performance challenges.
- Provide documentation, best practices, and knowledge transfer to technical and non-technical teams.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
Top Skills
APIs
AWS
Azure
Etl Frameworks
Google Bigquery
Marketing Cloud
Middleware
Sales Cloud
Salesforce Data Cloud
Service Cloud
Snowflake
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