Senior Data Solution Architect

EPAM Systems, Inc.; México; A distancia; MXN 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling and certification courses

Global career opportunities

Descripción de la vacante

EPAM Systems, Inc. seeks a hands-on Senior Data Solution Architect to design and validate a production-grade data foundation for analytics and AI-agent consumption. You will shape data models, integration patterns, and BigQuery standards in collaboration with engineering.

You will drive governance, data quality, and cost-efficient data pipelines, review architectures, and mentor engineers while aligning with stakeholders across multi-source data platforms and cloud-native services.

Formación

• 3+ years of data architecture experience designing analytical platforms on Google Cloud Platform.
• Strong SQL skills and hands-on BigQuery modeling and optimization.
• Experience with data governance, lineage, and access control.
• Excellent communication to translate requirements into specs.
• English proficiency at B2 or higher.

Responsabilidades

• Define target data architecture for analytics datasets and AI-use cases.
• Create conceptual, logical, and physical data models for BigQuery workloads.
• Design source-to-target mappings, data contracts, and lineage documentation.
• Collaborate with engineering on ingestion, transformation, and data quality patterns.
• Establish governance standards for lineage, ownership, access control, and retention.

Conocimientos

Data architecture

BigQuery

SQL

Python

Data modeling

Data governance

Stakeholder management

English (B2)

Educación

Bachelor's in CS or related field

Descripción del empleo

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.ResponsibilitiesDefine target data architecture for cost, usage, resource, contract, finance, metadata, and operational datasetsDesign conceptual, logical, and physical data models for BigQuery analytical workloadsCreate source-to-target mappings, transformation rules, data contracts, lineage documentation, and business definitionsEstablish canonical entities, domain models, semantic datasets, and reusable dimensions for analytics and agent use casesDefine data layer standards across raw, standardized, curated, and analytics-ready zones with clear ownership boundariesDesign integration patterns for APIs, files, databases, event streams, and semi-structured sourcesSet BigQuery standards for partitioning, clustering, materialized views, schema conventions, and query optimizationReview SQL, schemas, and pipeline designs to improve scalability, maintainability, performance, and cost efficiencyPartner with engineering to define ingestion, transformation, enrichment, reconciliation, and data-quality patternsEstablish governance standards for lineage, ownership, access control, retention, classification, freshness, and qualityCoordinate architecture and code reviews and provide technical direction across the data domainRequirementsData architecture experience (3+ years) designing analytical platforms and multi-source integrations on Google Cloud PlatformTechnical leadership experience guiding senior engineers and aligning stakeholders on data architecture decisionsProject delivery experience producing architecture artifacts, source-to-target mappings, and proof-of-concept validationsAdvanced SQL skills with hands-on BigQuery experience for modeling, optimization, and cost-efficient query designStrong data modeling skills across conceptual, logical, physical, dimensional, and canonical/domain modelsHands-on Python skills for data services, transformations, proofs of concept, or API integrationsStrong communication skills to translate requirements into clear, actionable specificationsUpper-Intermediate English proficiency (B2) for daily collaboration and documentationNice to haveGoogle Cloud BigQuery expertise with enterprise-scale optimization and administrationPython proficiency for building data tooling or integration servicesData Governance experience with catalogs, lineage, and access control standardsData Model expertise for semantic layers and domain-oriented datasetsStakeholder Management experience in cross-functional, architecture-driven programsWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.