Salesforce Technical Architect

VXForward

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

Posted 10/2/2026full-timeRemote • United StatesMid-LevelSenior💰 $80 - $100 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates deep architectural and practical experience with Salesforce Data 360, focusing on optimizing data ingestion, identity resolution, and real-time data access. Proficient in configuring data layers and connectors to support enterprise-grade data architecture and AI integration.

Highest-signal resume keywords

Salesforce Data 360 / Data CloudData Model Objects (DMOs)Identity ResolutionDataWeave TransformationsZero Copy Data Architecture

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Ingestion PipelinesData HarmonizationGovernanceSecurity ModelingCalculated InsightsAPI IntegrationsStreaming IngestionBatch IngestionIdentity Resolution RulesetsIntegration Flows

Tools & Technologies

S3SnowflakeMuleSoftBigQueryKafka

Industry Keywords

Data ArchitectureSales TransformationRCA MigrationCloud Information Model (CIM)Real-Time Data Access

Tech Stack

Tools & technologies

BigQueryCloudKafka

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 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 (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 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
Experience with S3, Snowflake, MuleSoft, BigQuery, and Kafka
Experience with Zero Copy and standard ingestion frameworks
Experience with DataWeave transformations, segment creation, calculated insights, and API integrations

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
Full-time positions offering growth opportunities
Consulting/contract basis opportunities on interesting and challenging engagements