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: 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