Salesforce Technical Architect

VXForward

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

Posted 10/15/2026full-timeRemote • United StatesMid-LevelSenior💰 $80 - $100 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Salesforce Data 360 architecture and configuration, focusing on optimizing data ingestion and integration flows. Proficient in identity resolution, data harmonization, and real-time data access to support enterprise data strategies.

Highest-signal resume keywords

Salesforce Data 360 / Data CloudData Model Objects (DMOs)Identity ResolutionReal-Time StreamingZero Copy Data Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Ingestion PipelinesDataWeave TransformationsCalculated InsightsData HarmonizationGovernanceSecurity ModelingEnterprise Data FlowsOptimization StrategiesBatch IngestionIntegration Flows

Tools & Technologies

S3SnowflakeMuleSoftBigQueryKafka

Industry Keywords

Identity Resolution RulesetsData Stream Objects (DSOs)Sales TransformationRCA MigrationCloud Information Model

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 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 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
Equal Opportunity Employer
Opportunities for growth and development
Full-time positions or consulting/contract engagements available