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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in Salesforce Data 360 and Data Cloud, focusing on optimizing data ingestion, identity resolution, and enterprise architecture. Proficient in configuring real-time and batch data flows, ensuring seamless integration with various data sources and frameworks.
Highest-signal resume keywords
Salesforce Data 360Data Ingestion OptimizationIdentity ResolutionData Model Objects (DMOs)Real-Time Streaming
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureData HarmonizationData GovernanceAPI IntegrationsDataWeave TransformationsZero Copy Data ArchitectureCalculated InsightsStreaming IngestionBatch IngestionIdentity Resolution Rulesets
Tools & Technologies
S3SnowflakeMuleSoftBigQueryKafka
Industry Keywords
Data CloudSales TransformationRCA MigrationCloud Information Model (CIM)Agentforce AI
Tech Stack
Tools & technologiesBigQueryCloudKafka
About the role
Key responsibilities & impact- Conduct end-to-end evaluation of the existing Data 360 (Data Cloud) implementation
- Identify bottlenecks in identity resolution, data ingestion pipelines, and calculated insights; formulate and execute optimization strategies
- Design scalable, enterprise-grade architecture for Data 360 aligned with Sales Transformation and RCA Migration requirements and Salesforce best practices
- Configure and optimize batch and streaming ingestion connectors
- Establish integration flows connecting S3, Snowflake, MuleSoft, BigQuery, and Kafka to Data 360 via Zero Copy and standard ingestion frameworks
- Map incoming source data streams (DDS) to Data Model Objects (DMOs) using the Cloud Information Model (CIM) and custom schema structures
- Design and configure Data 360 as the foundational context and grounding layer for Agentforce
- Enable real-time data access, vector embeddings, and retrieval-augmented generation (RAG)
- Perform hands-on Data 360 configuration, DataWeave transformations, segment creation, calculated insights, and API integrations
Requirements
What you’ll need- Deep architectural and practical experience with Salesforce Data 360 / Data Cloud
- Direct experience configuring Data 360 data layers to ground Agentforce AI agents with trusted enterprise data
- Proven capability in configuring standard/custom connectors, real-time streaming, batch ingestion, and Zero Copy data architecture
- Proficiency with Data Model Objects (DMOs), Data Stream Objects (DSOs), and identity resolution rulesets
- Hands-on experience with identity resolution, data harmonization, governance, security modeling, and enterprise data flows
Benefits
Comp & perks- Exciting Projects, Meaningful Impact
- Continuous Learning and Growth
- State-of-the-Art Technologies
- Collaborative Team Environment
- Make a Real Difference
- Work-Life Balance