Remote Senior Data Architect: BigQuery & AI Readiness

EPAM Systems; Chicago (IL); Remote; USD 170.000 - 210.000; Vollzeit

Benefits dieser Stelle

Medical, Dental and Vision Insurance (

Health Savings Account

Flexible Spending Accounts (Healthcare

Zusammenfassung

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

You will collaborate with Data Engineers to ensure robust ingestion, quality, monitoring, and scalable analytics in Google Cloud BigQuery, focusing on multi-cloud cost and performance optimization.

Qualifikationen

• Strong background in data engineering, data architecture or analytics engineering.
• Deep expertise in conceptual, logical, physical, dimensional and canonical data modeling.
• Advanced SQL skills and BigQuery experience for large-scale analytics.
• GCP knowledge including BigQuery, Cloud Storage, IAM, Pub/Sub, and GKE.
• Experience producing source-to-target mappings and data contracts.
• Proficient in Python for data services and API integrations.
• Governance, data quality, reconciliation, and least-privilege access patterns.

Aufgaben

• Define target data architecture for cost, usage, revenue, and metadata datasets.
• Create source-to-target mappings, transformation rules, and data contracts.
• Establish canonical domain models and semantic datasets for AI-use cases.
• Design integration patterns for APIs, files, databases, and streams.
• Partner with AI engineers to design safe, agent-ready BigQuery datasets.
• Review queries and pipelines for performance, cost and scalability.
• Lead governance, ownership, retention, and data quality standards.

Kenntnisse

Data architecture

Data modeling

BigQuery

GCP

Python

APIs

Data integration

Governance

Security

Jobbeschreibung

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

You will collaborate with Data Engineers to ensure robust ingestion, quality, monitoring, and scalable analytics in Google Cloud BigQuery, focusing on multi-cloud cost and performance optimization.