- Company Name
- CirrusLabs
- Job Title
- Cloud Architect
- Job Description
-
**Job title**
Cloud Architect – Salesforce Data Cloud
**Role summary**
Design, implement, and govern end‑to‑end Salesforce Data Cloud (Customer 360) solutions, integrating ML/AI, real‑time personalization, and large‑scale CDP architectures across cloud platforms (AWS, Azure, GCP, Snowflake, Databricks).
**Expactations**
- 8–10+ years’ experience in Salesforce/enterprise data platforms, 3+ years hands‑on with Salesforce Data Cloud.
- Proven ability to architect Agentforce + AI/ML solutions, including Einstein Studio, RAG retrievers, and external LLM integration.
- Deep understanding of data governance, MDM, regulatory compliance, and security best practices.
**Key responsibilities**
- Lead architecture and design of Data Cloud objects, data lake objects, harmonization layers, calculated insights, and identity resolution.
- Build and optimize DQL queries and advanced segmentation strategies.
- Design API‑based integrations, ETL/ELT pipelines, and event‑driven flows using MuleSoft and other middleware.
- Develop real‑time personalization, predictive insights, and recommendation engines within the Data Cloud ecosystem.
- Collaborate cross‑functionally with marketing, analytics, and AI teams to deliver unified data platforms.
- Evaluate and implement cloud‑native infrastructure (AWS, Azure, GCP, Snowflake, Databricks) for scalability and performance.
- Ensure data security, governance, and compliance across all integrations.
**Required skills**
- Salesforce Data Cloud (Customer 360), MuleSoft, Marketing Cloud, Tableau, Einstein Analytics, Einstein Studio, Einstein Data Loader.
- Data architecture, data modeling, data governance, MDM, data lakes, data warehousing.
- ETL/ELT, event‑driven architecture, API frameworks, API integration patterns.
- AI/ML integration, Agentforce, RAG retrievers, external LLMs, model builder.
- Cloud platforms: AWS, Azure, GCP, Snowflake, Databricks.
- Strong analytical, problem‑solving, and communication skills.
**Required education & certifications**
- Bachelor’s (or higher) degree in Computer Science, Information Systems, or related field.
- Salesforce certifications: Salesforce Certified Data Architecture & Management Designer, Salesforce Certified Advanced Administrator, and at least one Data Cloud‑specific credential.
- Optional: AWS/Azure/GCP cloud certification, MuleSoft Certified Developer.