Senior Salesforce Data Cloud Developer
New
I
In All MediaSalesforce data engineering
Argentina / Chile / Dominican Republic / Uruguay / Honduras, Minimum 4-hour daily overlap with US Pacific Time (PT)ContractSenior
Salary not disclosed
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Job Details
- Languages
- Candidates must be comfortable participating in technical discussions, documenting data engineering solutions, and collaborating with distributed international teams in English.
- Experience
- 5+ years of professional experience in data engineering or Salesforce data-focused roles, including at least 1 year of hands-on Salesforce Data Cloud development experience.
- Required Skills
- SQL
Requirements
- Have 5+ years of professional experience in data engineering or Salesforce data-focused roles.
- Have at least 1 year of hands-on Salesforce Data Cloud development experience; 2+ years is strongly preferred.
- Have hands-on experience building and configuring Salesforce Data Cloud ingestion, transformation, modeling, and data unification solutions.
- Have practical experience with native Salesforce Data Cloud data streams, the Ingestion API, and zero-copy data integration patterns.
- Be proficient in SQL for complex transformations, analytical querying, data validation, and cross-system reconciliation.
- Understand relational and dimensional data modeling and have experience designing Salesforce Data Cloud Data Model Objects.
- Have experience configuring and optimizing Salesforce Data Cloud identity resolution rulesets.
- Have experience developing and validating Data Cloud calculated insights, including financial metrics such as ARR and MRR.
- Be able to validate complex data transformations and identify source-to-target discrepancies.
- Be able to maintain at least 4 hours of daily overlap with US Pacific Time business hours.
- Be able to work in a corporate-provisioned AWS WorkSpace environment and comply with workspace and network connectivity requirements.
- Complete the required network connectivity test and provide a screenshot of successful results with the candidate submission.
Responsibilities
- Design, configure, and maintain Salesforce Data Cloud ingestion pipelines for Revenue Cloud, Salesforce Core CRM, and external billing data.
- Use native data streams, the Data Cloud Ingestion API, and zero-copy data federation patterns.
- Design and optimize Data Model Objects for customer, contract, product, and revenue data.
- Configure identity resolution rulesets to unify customer records across CRM, quoting, and billing platforms.
- Build and maintain calculated insights for ARR, MRR, product usage, contract values, and related revenue indicators.
- Develop SQL-based transformations, validations, and reconciliation processes for financial data.
- Reconcile legacy Salesforce CPQ records with Revenue Cloud and external billing data, validating assets, revenue figures, contract details, and renewal dates.
- Resolve ingestion inconsistencies, mapping errors, duplicate records, and financial data discrepancies.
- Prepare and govern unified customer and revenue datasets for downstream analytics and Salesforce Agentforce use cases.
- Collaborate with data engineering, Salesforce, Revenue Cloud, billing, and QTC transformation teams.
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