Senior Data Architect: Remote BigQuery & AI Readiness

EPAM Systems Inc; San Jose (CA); Remote; USD 170,000 - 210,000; Full time

Benefits offered by this job

Medical, Dental and Vision Insurance (

Health Savings Account

Flexible Spending Accounts

Disability Insurance

Life and AD&D Insurance

Employee Assistance Program

LinkedIn Learning access

401(k) matching

Job summary

EPAM Systems, Inc is seeking a Senior Data Architect to lead data modeling, integration patterns, and semantic datasets for AI-enabled analytics. You will bridge traditional data engineering with cutting-edge AI, designing agent-ready, MCP-compliant data access and scalable ingestion pipelines.

You will collaborate with AI Engineers and Data Engineers to optimize BigQuery workloads, implement governance, and drive cost-efficient, reliable data solutions across multi-cloud environments.

Qualifications

• Experience 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.
• Advanced SQL skills and hands-on experience with BigQuery for large-scale analytical datasets.
• Strong GCP knowledge including BigQuery, Cloud Storage, IAM, Pub/Sub, and GKE integration patterns.

Responsibilities

• Define the target data architecture for multi-cloud cost, usage, resource, contract, financial, metadata, and operational datasets.
• Create source-to-target mappings, transformation rules, data contracts, lineage documentation, and business definitions.
• Establish canonical entities, domain models, semantic datasets, and reusable dimensions 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 safe, discoverable, read-only BigQuery datasets and MCP tools for agent access.
• Review SQL queries and data pipelines for performance and cost efficiency; define BigQuery best practices.
• Establish governance standards for lineage, ownership, access control, retention, data classification, and quality.

Skills

Data Modeling

Data Architecture

Analytics Engineering

Backend/Data Platform

Python

Tools

BigQuery

GCP

Pub/Sub

GKE

REST APIs

Job description

EPAM Systems, Inc is seeking a Senior Data Architect to lead data modeling, integration patterns, and semantic datasets for AI-enabled analytics. You will bridge traditional data engineering with cutting-edge AI, designing agent-ready, MCP-compliant data access and scalable ingestion pipelines.

You will collaborate with AI Engineers and Data Engineers to optimize BigQuery workloads, implement governance, and drive cost-efficient, reliable data solutions across multi-cloud environments.