Senior Salesforce Data Cloud Architect

EPAM Systems sits at the intersection of deep engineering excellence and strategic consulting — and our Salesforce practice is one of the fastest-growing capabilities in the firm. We bring together data architecture, AI, cloud engineering, and customer experience in ways that most partners simply can't.

We're hiring aSalesforce Data Cloud Architectwho can design and deliver enterprise-grade Data Cloud solutions and walk into a client conversation and own it: Half deep technical delivery, half commercial impact.

Apply today!

Learn more about our Salesforce Practice:https://www.epam.com/services/partners/salesforce

Req.#1040996461

Responsibilities

• Architect end-to-end Salesforce Data Cloud solutions — ingestion, harmonization, identity resolution, segmentation, and 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 that turn complex data into clear business decisions
• Define analytics strategies aligned to client use cases — customer 360, marketing performance, sales intelligence
• Partner with sales and GTM teams on pre-sales, demos, and RFP responses — you move deals forward, not just answer technical questions
• Act as a trusted client advisor on data transformation strategy and the Salesforce Data Cloud roadmap you'll serve as the senior technical point of contact for 1–2 strategic accounts
• Build reusable accelerators and solution frameworks that sharpen every pursuit
• Play the part of a senior individual contributor with informal leadership of 3–5 architects per engagement - you will mentor architects, engineers, and analysts and contribute to EPAM's Data Cloud thought leadership

Requirements

• 10+ years in data architecture, analytics, or the Salesforce ecosystem
• Deep hands-on expertise in Salesforce Data Cloud — identity resolution, calculated insights, segmentation, and activation
• Experience with enterprise data architecture — CDM, dimensional modeling, APIs, ETL/ELT pipelines
• Proven track record in client-facing roles — pre-sales, solution engineering, or consulting
• A player-coach mindset: you'll be expected to both design architecture and write/review actual Data Cloud configurations and SQL-based calculated insights

Nice to Have

• Salesforce ecosystem experience across Sales Cloud and Marketing Cloud
• Familiarity with Snowflake, Databricks, or AWS/GCP/Azure
• AI/ML exposure within customer data platforms
• Industry experience in media, sports, financial services, or consumer goods
• Salesforce Data Cloud Consultant and Data 360 Consultant Certifications