Salesforce Technical Architect

VXForward

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

Posted 9/29/2026full-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, focusing on data ingestion, identity resolution, and real-time data access. Proficient in designing scalable solutions that integrate with various data sources and support enterprise data flows.

Highest-signal resume keywords

Salesforce Data 360 / Data Cloud ExperienceData Ingestion OptimizationIdentity Resolution ExpertiseData Model Objects (DMOs) ProficiencyReal-Time Streaming Configuration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Ingestion PipelinesIdentity ResolutionData HarmonizationGovernance ModelingAPI IntegrationsDataWeave TransformationsCalculated InsightsZero Copy Data ArchitectureBatch IngestionStreaming Ingestion

Tools & Technologies

S3SnowflakeMuleSoftBigQueryKafka

Industry Keywords

Data ArchitectureSales TransformationRCA MigrationData Model Objects (DMOs)Data Stream Objects (DSOs)

Tech Stack

Tools & technologies

BigQueryCloudKafka

About the role

Key responsibilities & impact

Conduct end-to-end evaluation of 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 from 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 schemas
Design and configure Data 360 as the 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