Senior Data 360 Architect for AI-Driven Salesforce

EPAM Systems; Poland; À distance; PLN 180 000 - 260 000; Plein temps

Résumé du poste

EPAM Systems, Inc. seeks an experienced Senior Data 360 Consultant / Architect to own the data layer on our most complex Salesforce engagements.

You will bridge the client’s current data landscape and the target architecture, shaping innovative solutions that unlock measurable value. This role spans the full delivery lifecycle—from discovery and design to activation and handover—while also providing strategic input during pre-sales activities.

Qualifications

• 5+ years in technical delivery roles with 2+ years in Data 360 / Data Cloud.
• Salesforce Data 360 Consultant certification is required.
• Strong data modeling, harmonization, and identity resolution knowledge.
• ETL/ELT, integration tools (MuleSoft, Informatica), and SQL proficiency.
• Hands-on experience with Snowflake, Databricks, BigQuery, or Redshift.
• Experience with Sales Cloud and/or Service Cloud implementations.

Responsabilités

• Design and document end-to-end Data 360 solutions, including source mapping and data modeling.
• Define architectures for ingestion, batch vs real-time processing, and integrations.
• Translate business needs into technical deliverables via workshops and stakeholder engagement.
• Apply governance, privacy, and consent frameworks at all stages.
• Support pre-sales scoping, estimation, and technical presentations.
• Mentor team members, develop reference architectures, and contribute to internal expertise.

Connaissances

Data modeling

Data governance

Requirements analysis

Stakeholder facilitation

SQL

ETL/ELT

Cloud data platforms

Pre-sales support

Mentoring

AI data patterns

Outils

MuleSoft

Informatica

Snowflake

Databricks

BigQuery

Redshift

Salesforce Data Cloud

Salesforce Platform

Apex / LWC

Description du poste

EPAM Systems, Inc. seeks an experienced Senior Data 360 Consultant / Architect to own the data layer on our most complex Salesforce engagements.

You will bridge the client’s current data landscape and the target architecture, shaping innovative solutions that unlock measurable value. This role spans the full delivery lifecycle—from discovery and design to activation and handover—while also providing strategic input during pre-sales activities.