Req.#[redacted] 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