AI-Ready Data Architect for BigQuery & Multi-Cloud

EPAM Systems; McLean (VA); Remote; USD 170,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

401(k) plan

Health Savings Account

Paid time off

Paid holidays

Employee stock purchase

Bonus program

LTI program

Job summary

EPAM Systems seeks a visionary Senior Data Architect to lead data modeling, integration patterns, and semantic datasets across multi-cloud environments. You will bridge traditional data engineering with AI systems, collaborating with AI Engineers to design agent-ready datasets and MCP data-access patterns.

The role focuses on scalable ingestion, quality, and monitoring standards. You will work deeply in Google Cloud GCP / BigQuery, shaping governance, performance tuning, and cost optimization

Qualifications

• Strong background in data engineering and data architecture.
• Deep expertise in conceptual, logical, physical, dimensional, canonical data modeling.
• Advanced SQL skills and BigQuery experience for large analytics datasets.
• GCP knowledge including BigQuery, Cloud Storage, IAM, Pub/Sub, GKE.
• Ability to produce source-to-target mappings, data contracts, lineage docs.

Responsibilities

• Define the target data architecture for multi-cloud datasets across cost, usage, resource, and finance.
• Create source-to-target mappings, transformation rules, and data lineage documentation.
• Establish canonical domain models and semantic datasets for reporting and AI use cases.
• Design integration patterns for APIs, files, databases, event streams, and semi-structured data.
• Partner with AI engineers to design read-only, agent-ready BigQuery datasets and MCP tools.
• Review queries, pipelines, schemas for performance and cost optimization in BigQuery.
• Provide governance leadership on lineage, ownership, access, retention and data quality.

Skills

Data architecture

Data engineering

Analytics engineering

Backend/data platform development

Tools

BigQuery

REST APIs

Python

Pub/Sub

GKE

Cloud Storage

Job description

EPAM Systems seeks a visionary Senior Data Architect to lead data modeling, integration patterns, and semantic datasets across multi-cloud environments. You will bridge traditional data engineering with AI systems, collaborating with AI Engineers to design agent-ready datasets and MCP data-access patterns.

The role focuses on scalable ingestion, quality, and monitoring standards. You will work deeply in Google Cloud GCP / BigQuery, shaping governance, performance tuning, and cost optimization