Senior Salesforce Data Cloud Architect

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 cant. Were 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. 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 youll 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 EPAMs 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: youll 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 We offer/Benefits • Medical, Dental and Vision Insurance (Subsidized) • Health Savings Account • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) • Short-Term and Long-Term Disability (Company Provided) • Life and AD&D Insurance (Company Provided) • Employee Assistance Program • Unlimited access to LinkedIn learning solutions • Matched 401(k) Retirement Savings Plan • Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time) • Paid Holidays - nine (9) total per year • Legal Plan and Identity Theft Protection • Accident Insurance • Employee Discounts • Pet Insurance • Employee Stock Purchase Program • If otherwise eligible, participation in the discretionary annual bonus program • If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program