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.#966328003
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
Build reusable accelerators and solution frameworks that sharpen every pursuit
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
Strong Tableau proficiency — dashboarding, data modeling, performance optimization
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: strategic enough to set direction, hands-on enough to earn the room
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