Senior Data Solution Architect

We are seeking a hands-on Senior Data Solution Architect to design and validate a production-grade data foundation that supports analytics and AI-agent consumption. You will shape data models, integration patterns, and BigQuery standards while partnering with engineering to deliver governed, reliable datasets.
Responsibilities
Define target data architecture for cost, usage, resource, contract, finance, metadata, and operational datasets
Design conceptual, logical, and physical data models for BigQuery analytical workloads
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 analytics and agent use cases
Define data layer standards across raw, standardized, curated, and analytics-ready zones with clear ownership boundaries
Design integration patterns for APIs, files, databases, event streams, and semi-structured sources
Set BigQuery standards for partitioning, clustering, materialized views, schema conventions, and query optimization
Review SQL, schemas, and pipeline designs to improve scalability, maintainability, performance, and cost efficiency
Partner with engineering to define ingestion, transformation, enrichment, reconciliation, and data-quality patterns
Establish governance standards for lineage, ownership, access control, retention, classification, freshness, and quality
Coordinate architecture and code reviews and provide technical direction across the data domain
Requirements
Data architecture experience (3+ years) designing analytical platforms and multi-source integrations on Google Cloud Platform
Technical leadership experience guiding senior engineers and aligning stakeholders on data architecture decisions
Project delivery experience producing architecture artifacts, source-to-target mappings, and proof-of-concept validations
Advanced SQL skills with hands-on BigQuery experience for modeling, optimization, and cost-efficient query design
Strong data modeling skills across conceptual, logical, physical, dimensional, and canonical/domain models
Hands-on Python skills for data services, transformations, proofs of concept, or API integrations
Strong communication skills to translate requirements into clear, actionable specifications
Upper-Intermediate English proficiency (B2) for daily collaboration and documentation
Nice to have
Google Cloud BigQuery expertise with enterprise-scale optimization and administration
Python proficiency for building data tooling or integration services
Data Governance experience with catalogs, lineage, and access control standards
Data Model expertise for semantic layers and domain-oriented datasets
Stakeholder Management experience in cross-functional, architecture-driven programs
We offer
International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

Work arrangement
Yes