Senior Data Architect: AI-Ready BigQuery & Multi-Cloud

EPAM Systems; Boston (MA); Remote; USD 170,000 - 210,000; Full time

Benefits offered by this job

Medical, Dental and Vision Insurance

Health Savings Account

401(k) Matching

Job summary

EPAM Systems, Inc. is seeking a Senior Data Architect to lead data modeling, integration patterns, and semantic datasets. You will bridge traditional data engineering with AI, defining MCP data-access patterns and scalable ingestion standards.

You will work on multi-cloud cost, usage, and financial datasets, designing agent-ready datasets in Google Cloud BigQuery and related tooling. This role emphasizes governance, performance, and scalable architecture.

Qualifications

• Experience in data engineering, data architecture, analytics engineering, or backend/data platform development
• Deep expertise in conceptual, logical, physical, dimensional, canonical, and domain data modeling
• Advanced SQL skills and large-scale analytical datasets design in cloud data warehouses (BigQuery or similar)
• Strong GCP knowledge including BigQuery, Cloud Storage, IAM, Pub/Sub, and GKE
• Proven ability to produce source-to-target mappings and data contracts
• Experience with governance, data quality, lineage, and security patterns

Responsibilities

• Data Architecture & Modeling: Define the target data architecture for multi-cloud cost, usage, resource, contract, financial, metadata, and operational datasets.
• Documentation & Governance: Create mappings, transformation rules, data contracts, lineage, and business definitions.
• Semantic & Domain Modeling: Establish canonical entities, domain models, semantic datasets, and reusable dimensions.
• Integration & Ingestion Design: Design patterns for APIs, files, databases, event streams, and semi-structured data.
• AI & Agent Readiness: Partner with AI Engineers to design usable BigQuery datasets and MCP tools.
• Performance & Cost Optimization: Review queries and pipelines; apply partitioning, clustering, views, and optimization.
• Data Governance & Leadership: Establish governance standards; participate in reviews and provide technical leadership.

Skills

Data architecture

Data modeling

GCP BigQuery

SQL

Data governance

Python

APIs integration

Stakeholder collaboration

Tools

BigQuery

REST APIs

Pub/Sub

GKE

Job description

EPAM Systems, Inc. is seeking a Senior Data Architect to lead data modeling, integration patterns, and semantic datasets. You will bridge traditional data engineering with AI, defining MCP data-access patterns and scalable ingestion standards.

You will work on multi-cloud cost, usage, and financial datasets, designing agent-ready datasets in Google Cloud BigQuery and related tooling. This role emphasizes governance, performance, and scalable architecture.