Senior Data Architect: AI-Ready BigQuery & Data Modeling

EPAM Systems; Austin (TX); Remote; USD 170,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement plan

Paid time off

Remote work

Life and disability insurance

Job summary

EPAM Systems seeks a 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 closely with AI Engineers and Data Engineers to enable agent-ready datasets and MCP data-access patterns.

The role focuses on scalable ingestion, governance, and optimization of BigQuery analytics, with emphasis on cost efficiency and robust data standards across cloud platforms.

Qualifications

• Strong professional 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.
• Advanced SQL skills and hands-on experience designing large-scale analytical datasets and data marts.

Responsibilities

• Define the target data architecture for multi-cloud cost, usage, resource, contract, financial, metadata, and operational datasets.
• Design conceptual, logical, and physical data models optimized for BigQuery analytical workloads.
• Create source-to-target mappings, transformation rules, data contracts, and lineage documentation.
• 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 BigQuery datasets and MCP tools for agent access.
• Review queries and pipelines for performance, cost, and scalability.

Skills

Data Modeling

BigQuery

Python

GCP

SQL

Data Governance

Domain Modeling

Performance Tuning

Tools

BigQuery

Pub/Sub

GKE

Cloud Storage

IAM

Job description

EPAM Systems seeks a 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 closely with AI Engineers and Data Engineers to enable agent-ready datasets and MCP data-access patterns.

The role focuses on scalable ingestion, governance, and optimization of BigQuery analytics, with emphasis on cost efficiency and robust data standards across cloud platforms.