Salesforce Data 360 Architect
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+5 more
Job description
Data Architecture Modeling Design Data Lake Objects (DLOs) and Data Model Objects (DMOs) within Data Cloud. Integration Ingestion Connect external data sources (AWS, Azure, APIs, MuleSoft) and Salesforce Clouds using connectors. Identity Resolution Create rules to unify customer data into a single, comprehensive 360-degree view. Segmentation Activation Develop actionable insights, segments, and activate data for personalized marketing and service use cases. Data Governance Quality Ensure data accuracy, security, and compliance (e.g., HIPAA). Technical Leadership Lead implementation, troubleshoot data flows, and guide stakeholders on best practices.
Requirements
Do you have experience in Schema design?, Must Have Technical/Functional Skills Primary Skill: Salesforce Data 360. Secondary: Salesforce Data Cloud. Experience: Minimum 10 years, Experience Proven experience with Salesforce Data Cloud, Data 360, or Customer Data Platforms (CDPs). Technical Skills Strong understanding of ETLELT concepts, SQL, data modeling, APIs, and data mapping. Salesforce Ecosystem Deep knowledge of Salesforce SalesServiceMarketing Cloud architecture. Analytical Skills Ability to analyze complex data sets and translate them into business solutions.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on indeed.comGood distractions
Talks and stories from around this role ā technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
What Are The Top Skills Required For Azure Developers?
Making Data Warehouses Fast: A Developerās Story
Top Big Data Technologies That You Need to Know
Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence