Data & AI Modernization Consultant | Remote

EPAM Systems Inc; Atlanta (GA); À distance; USD 160 000 - 220 000; Plein temps

Avantages offerts par ce poste

Health insurance

HSA

FSA (Healthcare)

Disability insurance

Life insurance

Employee assistance program

LinkedIn Learning

401(k) match

Paid time off

Paid holidays

Legal plan

Identity theft protection

Pet insurance

Employee stock purchase program

Annual bonus program

Long-Term Incentive

Résumé du poste

EPAM Systems, Inc. seeks a seasoned Data Technology Consultant to join its Data & AI practice and lead modernisation programs for clients worldwide. The role bridges technology and business value, retiring legacy warehouses and ETL tools to a lakehouse stack and unlocking AI use cases.

You will own presales end-to-end, design scalable cloud architectures using Databricks and Snowflake, and advise senior stakeholders across industries to deliver measurable outcomes.

Qualifications

• 7+ years in data technology consulting or related roles.
• Experience with modern cloud data platforms (Databricks, Snowflake).
• Knowledge of legacy data warehousing and ETL tools (Oracle, DB2, Informatica, SSIS).
• Proven modernization leadership across complex enterprise programs.
• Strong storytelling and executive-level advisory skills.

Responsabilités

• Lead End-to-End Presales Lifecycle: design, scoping and estimation.
• Drive Client Discovery & Advisory: workshops to formulate migration roadmaps and data strategies.
• Design Modern Cloud Architectures: cloud-native Data & AI solutions (Databricks, Snowflake) across AWS/Azure/GCP.
• Bridge Business & Technology: align solutions with client objectives and measurable value.

Connaissances

Data consulting

Data architecture

Solution architecture

Outils

Databricks

Snowflake

AWS

Azure

GCP

Oracle

DB2

Informatica

SSIS

Description du poste

EPAM Systems, Inc. seeks a seasoned Data Technology Consultant to join its Data & AI practice and lead modernisation programs for clients worldwide. The role bridges technology and business value, retiring legacy warehouses and ETL tools to a lakehouse stack and unlocking AI use cases.

You will own presales end-to-end, design scalable cloud architectures using Databricks and Snowflake, and advise senior stakeholders across industries to deliver measurable outcomes.