> Markdown version of [/jobs/ext/3874424-d360-solution-architect](https://www.wearedevelopers.com/jobs/ext/3874424-d360-solution-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # D360 Solution Architect - **Company:** Xoriant Corporation - **Location:** Sunnyvale, CA, United States - **Contract:** Permanent contract - **Skills:** Amazon S3, Apache HTTP Server, Applications Architecture, BigQuery, Cloud Computing, Customer Data Management, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Sharing, Metadata, Salesforce.Com, SQL Databases, Data Streaming, Systems Architecture, Enterprise Data Management, Parquet, Data Ingestion, Snowflake, Data Lakes, Data Lineage, Enterprise Integration, Data Lakehouse, Data Pipelines, Marketing Cloud, User Identification, Databricks - **Published:** October 22, 2026 - **Apply:** https://www.dice.com/job-detail/55df6940-92c8-4b08-a7c9-099e2a46ddad ## About the Role Core Expertise: Deep architectural and hands-on experience with Salesforce Data 360 (Data Cloud / CDP), including ingestion, modeling, identity resolution, calculated insights, and segmentation/activation. Enterprise Integration: Strong experience with Zero-Copy architecture, API integration, data lakehouse patterns (Apache Iceberg/Parquet), and real-time streaming connectors. Data Platform Knowledge: Familiarity with modern enterprise data lakes and warehouses (e.g., Snowflake, AWS S3, BigQuery) and ETL/ELT pipelines. Technical Mastery: Solid foundation in SQL, metadata-driven architecture, and data modeling concepts. Certifications (Preferred) Salesforce Certified Data Cloud / Data 360 Consultant Salesforce Certified System Architect or Application Architect ## Description Architecture & Strategic Design: Lead the solution architecture and technical roadmap for Salesforce Data 360 integration across enterprise systems, ensuring scalable data ingestion, lakehouse storage, and zero-copy federation. Data Modeling & Harmonization: Design data streams, map Data Source Objects (DSOs) and Data Lake Objects (DLOs) to standard Customer 360 Data Model Objects (DMOs), and define extensible custom schemas where required. Identity Resolution & Unification: Architect identity resolution rulesets, match and reconciliation criteria, and golden profile configurations to deliver a single, consolidated 360-degree customer view. Data Activation & Integration: Design data activation targets across Salesforce Core (Sales, Service, Marketing Cloud Engagement) and external platforms using zero-copy / data sharing patterns (e.g., Snowflake, Databricks, BigQuery). Governance, Privacy & Security: Establish data governance protocols, lineage tracking, and compliance rule sets to safeguard sensitive PII/PCI data within the Data 360 platform. Collaboration & Leadership: Partner with enterprise IT leads, data engineering teams, and business stakeholders to translate operational objectives into concrete technical deliverables.