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 a Salesforce Data Cloud Architect who 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: Req.# 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/Google Cloud Platform/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