Powered by pgvector · cosine kNN
No similar jobs yet — embeddings have not been generated for this listing. Run npm run seed:embeddings with AI Gateway access (AI_GATEWAY_API_KEY) configured.
N2S.Global
We are seeking an experienced Salesforce Data Engineer to design, build, and optimize data solutions within the Salesforce ecosystem. The ideal candidate will have expertise in Salesforce Data Cloud, data integration,…
Your match
See how you fit
Scored against this job in seconds
Your account
Sign in to apply
Your profile and your match for this job appear right here.
sign in above to apply · via LinkedIn
About the role
We are seeking an experienced Salesforce Data Engineer to design, build, and optimize data solutions within the Salesforce ecosystem. The ideal candidate will have expertise in Salesforce Data Cloud, data integration, ETL/ELT pipelines, cloud platforms, and enterprise data architecture.Key ResponsibilitiesSalesforce Data Cloud & Data EngineeringDesign and implement Salesforce Data Cloud solutions.Configure Data Streams, Data Model Objects (DMOs), Calculated Insights, and Identity Resolution.Develop scalable data pipelines for ingestion and transformation of customer data.Integrate Salesforce Data Cloud with Sales Cloud, Service Cloud, Marketing Cloud, and external systems.Build Customer 360 and unified customer profiles.Data Integration & ETLDesign and manage ETL/ELT workflows.Develop API-based integrations between Salesforce and enterprise applications.Work with cloud-native data platforms such as Snowflake, Databricks, Azure Data Lake, and AWS.Ensure data quality, governance, and lineage.Data Modeling & AnalyticsDesign logical and physical data models.Support segmentation, activation, and audience creation.Enable reporting, analytics, and AI-driven customer insights.Optimize data performance and query efficiency.Cloud & Platform EngineeringWork with Azure, AWS, or GCP environments.Implement secure data movement and storage strategies.Collaborate with architects and business stakeholders on enterprise data initiatives.Required SkillsSalesforceSalesforce Data Cloud (CDP)Sales CloudService CloudMarketing CloudCustomer 360Data EngineeringSQLData ModelingETL/ELTData WarehousingData GovernanceIntegrationREST APIsMuleSoft (Preferred)Informatica / Talend (Preferred)Cloud PlatformsAzureAWSGCPProgrammingPythonSQLSpark/PySpark (Preferred)Data PlatformsSnowflakeDatabricksAzure SynapseAzure Data FactoryRequired Experience5+ years of Data Engineering experience.2+ years of Salesforce Data Cloud experience.Experience building enterprise-scale data pipelines.Hands-on experience with SQL and cloud data platforms.Experience integrating Salesforce with enterprise applications.Strong understanding of customer data platforms (CDP).Preferred CertificationsSalesforce Data Cloud ConsultantSalesforce AdministratorSalesforce Platform DeveloperAzure Data Engineer Associate (DP-203)AWS Data Analytics CertificationNice to HaveGenAI and AI-powered customer analyticsCustomer segmentation and activationReal-time customer data processingRetail, Banking, Telecom, or Healthcare domain experience
sign in above to apply · via LinkedIn
Your job hunt, handled
Ask about any role and get a straight answer on your fit. Then stop searching: new matches land in your WhatsApp the moment they’re listed.
Free for jobseekers