Remote Data & AI Modernization Consultant

EPAM Systems Inc

San Jose (CA)

Remote

USD 160,000 - 220,000

Full time

12 days ago
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Benefits offered by this job

Medical, Dental and Vision Insurance (
Health Savings Account
Flexible Spending Accounts (Healthcare

Job summary

EPAM Systems, Inc. seeks a seasoned Data Technology Consultant to drive Data & AI modernization programs for global clients.

You will own presales end-to-end, design cloud-native architectures, and advise senior stakeholders on enterprise data strategies. Ideal candidates have 7+ years in data technology consulting or solution architecture, with hands-on Databricks and Snowflake experience across AWS, Azure, and GCP.

Qualifications

  • 7+ years of experience in data technology consulting, data architecture, or solution architecture for enterprise-scale data platforms.
  • Hands-on experience with modern cloud data platforms (Databricks, Snowflake) across AWS, Azure, and GCP.
  • Strong legacy data warehousing and ETL understanding (Oracle, DB2, Informatica, SSIS) and migration challenges.
  • Proven track record of leading complex data modernization programs into production.
  • Exceptional storytelling and executive-level advisory skills.

Responsibilities

  • Lead End-to-End Presales Lifecycle: design solutions, scope work, and estimate effort.
  • Drive Discovery & Advisory: workshops to define legacy migration roadmaps and data strategies.
  • Design modern cloud architectures for Data & AI solutions using lakehouse patterns.
  • Bridge business and technology across sales, delivery, and technical teams.

Skills

Data technology consulting
Data architecture
Solution architecture
Presales ownership
Executive storytelling

Tools

Databricks
Snowflake
AWS
Azure
GCP

Job description

EPAM Systems, Inc. seeks a seasoned Data Technology Consultant to drive Data & AI modernization programs for global clients.

You will own presales end-to-end, design cloud-native architectures, and advise senior stakeholders on enterprise data strategies. Ideal candidates have 7+ years in data technology consulting or solution architecture, with hands-on Databricks and Snowflake experience across AWS, Azure, and GCP.

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