Position Details
About this role
EPAM is hiring a Salesforce Data Cloud Architect to design and deliver end-to-end Data Cloud solutions and lead client conversations. The role blends deep technical delivery with commercial impact via pre-sales and RFP support.
Key Responsibilities
- Architect end-to-end Salesforce Data Cloud solutions (ingestion, harmonization, identity resolution, segmentation, activation).
- Design scalable data models, governance frameworks, and integration patterns across real-time and batch pipelines.
- Lead technical integrations across the Salesforce ecosystem and third-party platforms.
- Build and optimize Tableau dashboards.
- Partner on pre-sales, demos, and RFP responses and act as a trusted client advisor.
Technical Overview
You will architect Salesforce Data Cloud ingestion, harmonization, identity resolution, segmentation, and activation across real-time and batch pipelines. The position also covers Tableau dashboarding, enterprise data architecture (CDM, dimensional modeling, APIs, ETL/ELT), and technical integrations across the Salesforce ecosystem and third-party platforms.
Ideal Candidate
The ideal candidate is a senior Data Cloud Architect with 10+ years across data architecture/analytics and deep hands-on expertise in Salesforce Data Cloud, including identity resolution, calculated insights, segmentation, and activation. They are Tableau-proficient, experienced with enterprise data architecture (CDM, dimensional modeling, APIs, ETL/ELT pipelines), and comfortable owning client-facing pre-sales and RFP responses.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
10+ years in data architecture, analytics, or the Salesforce ecosystem, Deep hands-on expertise in Salesforce Data Cloud (identity resolution, calculated insights, segmentation, activation), Strong Tableau proficiency (dashboarding, data modeling, performance optimization), Experience with enterprise data architecture (CDM, dimensional modeling, APIs, ETL/ELT pipelines), Proven client-facing experience (pre-sales, solution engineering, or consulting)
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