Salesforce Technical Architect

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $80 - $100 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

🌐👩‍💻 Salesforce Developer

👻 Ghost score 0%

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VXForward

1 - 10 employees

💼 Consulting

🤝 B2B

🔒 Cybersecurity

Consulting • B2B • Cybersecurity

VXForward is a leading information technology solutions and services provider that helps clients create business value through enterprise software development, business process management, business intelligence, database administration, DevOps, middleware support, cybersecurity, and operations & maintenance. The company delivers consulting, implementation, and support services across diverse industry verticals using tools such as Pega, Appian, TIBCO, IBM, Oracle, and Microsoft, and emphasizes risk-based cybersecurity, program/project management, and legacy-mainframe and cloud-enabled operations.

📋 Description

• 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 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 schema structures • 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

• 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 integrations • Experience with DataWeave transformations, segment creation, calculated insights, and API integrations • Ability to work independently and as part of a team • Self-motivated and proactive approach • No specific educational credential stated

🏖️ Benefits

• Exciting Projects, Meaningful Impact • Continuous Learning and Growth • State-of-the-Art Technologies • Collaborative Team Environment • Work-Life Balance • Growth opportunities • Consulting/contract basis opportunities • Equal Opportunity Employer committed to a diverse and inclusive workforce

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