Remote Senior Data Architect - BigQuery & AI Readiness

EPAM Systems; Atlanta (GA); Remote; USD 170,000 - 210,000; Full time

Benefits offered by this job

Medical, Dental and Vision Insurance (

Health Savings Account

Flexible Spending Accounts (Healthcare

Short-Term and Long-Term Disability

Life and AD&D Insurance

Employee Assistance Program

LinkedIn learning access

Matched 401(k)

Paid Time Off

Paid Holidays

Identity Theft Protection

Employee Stock Purchase Program

Job summary

EPAM Systems is seeking a Senior Data Architect to lead data modeling, integration patterns, and semantic datasets. You will bridge traditional data engineering with AI systems, collaborating with AI Engineers to design agent-ready datasets and MCP data-access patterns, while partnering with Data Engineers to ensure scalable ingestion, transformation, quality, and monitoring.

The role focuses on multi-cloud cost, usage, and financial datasets in Google Cloud (GCP) / BigQuery, with strong

Qualifications

• Strong professional background in data engineering and data architecture.
• Deep expertise in conceptual, logical, physical, and domain data modeling.
• Hands-on experience with Google Cloud BigQuery and multi-cloud data warehousing.

Responsibilities

• Define target data architecture for multi-cloud datasets and optimize BigQuery workloads.
• Create source-to-target mappings, data contracts, lineage documentation, and definitions.
• Establish canonical domain models and semantic datasets for reporting and AI-ready use cases.
• Design ingestion patterns for APIs, files, databases, event streams, and semi-structured data.
• Collaborate with AI Engineers to design safe, agent-ready BigQuery datasets and MCP tools.
• Review queries and data pipelines for performance, scale, and cost efficiency.
• Provide governance, ownership boundaries, access controls, and data-quality standards.

Skills

Data Modeling

Data Architecture

BigQuery

GCP

Python

REST APIs

Data Governance

Tools

BigQuery

Cloud Storage

IAM

Pub/Sub

GKE (Kubernetes)

Job description

EPAM Systems is seeking a Senior Data Architect to lead data modeling, integration patterns, and semantic datasets. You will bridge traditional data engineering with AI systems, collaborating with AI Engineers to design agent-ready datasets and MCP data-access patterns, while partnering with Data Engineers to ensure scalable ingestion, transformation, quality, and monitoring.

The role focuses on multi-cloud cost, usage, and financial datasets in Google Cloud (GCP) / BigQuery, with strong