Senior Cloud Engineer/ Architect

Capgemini•Dallas, TX

19h

About The Position

This role is for a Senior Salesforce Data Cloud Engineer / Architect with hands-on Salesforce Data Cloud (formerly CDP / Data 360) implementation experience. It is not a traditional Salesforce development role; rather, it requires deep expertise in data architecture, customer data platforms, identity resolution, and closure sales–driven data models. The ideal candidate will have proven experience designing and implementing Customer 360 solutions, managing complex data ingestion pipelines, and enabling analytics and AI-driven insights to support sales, marketing, and customer engagement strategies.

Requirements

Experience with Snowflake, including Zero Copy Integration
Strong AWS knowledge and hands-on experience
Solid understanding of enterprise integrations and event-driven architectures
Experience with AI-driven analytics, predictive insights, and personalization use cases
Prior experience supporting sales closure processes through data-driven insights
Senior-level experience as a Salesforce Data Cloud Engineer or Architect
Minimum one full Salesforce Data Cloud / Data 360 implementation
Strong working knowledge of: Salesforce Sales Cloud and Marketing Cloud schemas, Salesforce Data Cloud configuration and administration
Expertise in Customer Data Platforms (CDP) and Customer 360 architecture
Advanced proficiency in: SQL, JSON, ETL / ELT pipelines, SSJS

Nice To Haves

Salesforce Data Cloud Certification

Responsibilities

Lead the design, architecture, and implementation of Salesforce Data Cloud / Data 360 solutions, including at least one end-to-end implementation
Configure and administer Salesforce Data Cloud, including data spaces, permissions, data streams, and governance
Design and build Customer 360 / CDP data models, including: Data ingestion from multiple sources, Data mapping to Customer 360, Identity resolution and de-duplication rules
Build and manage identity resolution strategies to create unified customer profiles
Work extensively with Data Streams, Data Lake Objects (DLOs), and Data Model Objects (DMOs)
Develop and optimize SQL-based data transformations, JSON structures, and ETL/ELT processes
Build scalable data ingestion pipelines using MuleSoft, APIs, and event-driven architectures
Integrate Salesforce Data Cloud with enterprise systems (e.g., SAP, Teradata) using APIs and middleware
Design and enable analytics and insights using: CRMA (Einstein Analytics), Tableau, Agentic AI capabilities
Support and contribute to Agentforce, Einstein Studio, and advanced Data Cloud integrations
Collaborate with sales, marketing, and data teams to ensure data models align with closure sales and go-to-market strategies

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

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