Remote Data Architect — AI‑Ready BigQuery & Analytics

EPAM Systems; Seattle (WA); Remote; USD 170,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Paid time off

Remote work

Professional development

Job summary

EPAM Systems in Seattle seeks a Senior Data Architect to lead data modeling, integration patterns, and semantic datasets. You will bridge traditional data engineering with AI systems, partnering with AI engineers to design agent‑ready datasets and MCP data‑access patterns.

The role emphasizes scalable ingestion, transformation, quality, monitoring, and governance across multi‑cloud cost, usage, and financial datasets using BigQuery on Google Cloud.

Qualifications

• Strong background in data engineering, data architecture, analytics engineering, or backend/data platform development.
• Deep expertise in conceptual, logical, physical, dimensional, canonical, and domain‑oriented data modeling.
• Proficiency with multi‑cloud data warehousing and BigQuery design for analytics.
• Solid knowledge of the GCP ecosystem: BigQuery, Cloud Storage, IAM, Pub/Sub, and related patterns.
• Hands‑on Python for data services, transformations, and API integrations.
• Experience with data governance, quality, lineage, and security best practices.

Responsibilities

• Define the target data architecture for multi‑cloud datasets and optimized BigQuery workloads.
• Create source‑to‑target mappings, transformation rules, data contracts, and lineage docs.
• Establish canonical entities, domain models, and semantic datasets for reporting and AI uses.
• Design integration patterns for APIs, files, databases, and event streams; ensure proper mapping.
• Partner with AI engineers to design safe, read‑only BigQuery datasets and MCP tools.
• Review performance, cost, and data pipelines; apply BigQuery best practices.
• Lead governance efforts, ownership boundaries, retention, and access controls.

Skills

Data architecture

Data modeling

BigQuery / GCP

Python

APIs & integration

Tools

BigQuery

GCP

Airflow

SQL

Job description

EPAM Systems in Seattle seeks a Senior Data Architect to lead data modeling, integration patterns, and semantic datasets. You will bridge traditional data engineering with AI systems, partnering with AI engineers to design agent‑ready datasets and MCP data‑access patterns.

The role emphasizes scalable ingestion, transformation, quality, monitoring, and governance across multi‑cloud cost, usage, and financial datasets using BigQuery on Google Cloud.