Senior Data Architect

Wizeline·Beavertonsenior

In short

→Arquitecto de datos senior que diseña modelos lógicos y físicos para plataformas como Databricks, Snowflake y Hive.
→Colabora con equipos de producto, engineering y arquitectura para alinear datos con requerimientos de negocio y KPIs.
→Destacado: requiere presencia en oficina en Beaverton, Oregon, y lidera estándares de modelado de datos en entornos de múltiples squads.

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What they ask for

✓Licenciatura en Ciencias de la Computación, Negocios o equivalente
✓7+ años de experiencia en tecnología, preferiblemente en BI y análisis
✓Experiencia en diseño de modelos de datos lógicos y físicos
✓Conocimiento profundo de plataformas como Databricks, Snowflake y Hive
✓Capacidad para trabajar con equipos de producto y arquitectura para definir KPIs y atributos de datos
✓Experiencia en gestión de datos, gobernanza y estandarización de modelos

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

DatabricksSnowflakeHiveBI AnalyticsAI/MLData ModelingConceptual Data ModelsLogical Data ModelsPhysical Data ModelsData Governance

Who should you write to at Wizeline?

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Senior Data Architect The Company Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services. We thrive in solving our customer’s challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data). We help them succeed in building digital capabilities that bring technology to the core of their business. Your Day-to-Day IMPORTANT: This position is based in Beaverton, Oregon, and requires office attendance. • Partner with information architecture to build logical/canonical, dimensional and physical data models for Databricks, Snowflake and Hive bigdata implementations to support data, BI Analytics and AI/ML products aligned with conceptual data models • Work with product teams to define data sources by partnering with information and enterprise architecture. • Work with product teams to define Key Performance Indicators and supporting data attributes and business rules • Work with product teams to ensure data meets business requirements • Optimize data designs and rationalize data objects across data products to reduce data redundancies and duplication • Analyze existing data stores and interfaces to support current state and future data models • Work with engineering squads to create physical data designs and business rule implementation • Partner with enterprise data management and strategy on business glossary implementation and governance and stewardship • Work with report developers to align dataset design with report design • Partner with information architecture to provide feedback on conceptual models and review logical and physical data models • Partner with information architecture on naming standards • Provide data consistency across multiple scrum teams within a capability • Facilitate data requirements elicitation and modeling sessions including use of interview, document analysis, workshops etc. • Provide guidance and partner with squads by applying knowledge of data design • Assist with the development and enforcement of data modeling standards • Participate in data definition and data management reviews • Partner with source system on new initiatives and enhancements • Interface with transformational initiatives • Partner with engineering and information architect on integrated/aggregated layer guidelines • Establish and maintain processes to support and grow data modelling practices Are You a Fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role. Must-have Skills • Bachelor s degree in Business, Computer Science or equivalent • 7+ years of experience working in technology, preferably in BI and Analytics</li

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