Salesforce Technical Architect

VXForward

. Conduct end-to-end evaluation of the existing Data 360 implementation .

Posted 10/8/2026full-timeRemote • United StatesMid-LevelSenior💰 $80 - $100 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in configuring and optimizing Salesforce Data 360 architecture, ensuring seamless integration with enterprise data sources and real-time data access. Proficient in identity resolution, data ingestion strategies, and data governance to support AI-driven applications.

Highest-signal resume keywords

Salesforce Data 360 / Data CloudData Layer ConfigurationReal-Time StreamingIdentity ResolutionData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Ingestion PipelinesData Model Objects (DMOs)Data Stream Objects (DSOs)DataWeave TransformationsZero Copy Data ArchitectureCalculated InsightsAPI IntegrationsData HarmonizationSecurity ModelingEnterprise Data Flows

Tools & Technologies

S3SnowflakeMuleSoftBigQueryKafka

Industry Keywords

Data ArchitectureSales TransformationRCA MigrationIntegration FlowsOptimization Strategies

Tech Stack

Tools & technologies

BigQueryCloudKafka

About the role

Key responsibilities & impact

Conduct end-to-end evaluation of the existing Data 360 implementation
Identify bottlenecks in identity resolution, data ingestion pipelines, and calculated insights; formulate and execute optimization strategies
Design scalable, enterprise-grade Data 360 architecture aligned with Sales Transformation and RCA Migration requirements
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 to Data Model Objects using the Cloud Information Model 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
Perform hands-on 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