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Senior Data Architect

WizelineBeaverton
On-site Full-time

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Experience Level

Senior

Qualifications

We are looking for a seasoned professional with a strong background in data architecture. Ideal candidates will possess:Extensive experience with data modeling and architecture frameworks. Proficiency in Databricks, Snowflake, and Hive implementations. Ability to work collaboratively in cross-functional teams. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities.

About the job

Senior Data Architect

About Wizeline

Wizeline is a leading global digital services company dedicated to empowering mid-sized to Fortune 500 businesses in designing, scaling, and delivering exceptional digital products and services. Our mission is to solve our clients' challenges through innovative, human-centered experiences, modernizing digital infrastructures, and implementing intelligence throughout (AI/ML and data). We assist our clients in establishing digital capabilities that seamlessly integrate technology at the core of their operations.

Your Responsibilities

IMPORTANT: This position is based in Beaverton, Oregon, and requires in-office attendance.

  • Collaborate with information architecture to develop logical/canonical, dimensional, and physical data models for Databricks, Snowflake, and Hive big data implementations, ensuring alignment with conceptual data models for data, BI Analytics, and AI/ML products.
  • Engage with product teams to identify data sources through collaboration with information and enterprise architecture.
  • Work alongside product teams to define Key Performance Indicators and associated data attributes and business rules.
  • Ensure data integrity meets business requirements in collaboration with product teams.
  • Enhance data designs and streamline data objects across products to minimize redundancy and duplication.
  • Evaluate existing data stores and interfaces to support current and future data models.
  • Team with engineering squads to create robust physical data designs and implement business rules.
  • Collaborate with enterprise data management and strategy on the implementation of a business glossary, governance, and stewardship.
  • Partner with report developers to synchronize dataset design with reporting requirements.
  • Provide constructive feedback on conceptual models and review logical and physical data models in partnership with information architecture.
  • Work with information architecture on establishing naming conventions.
  • Ensure data consistency across multiple scrum teams within the capability.

About Wizeline

Wizeline is a premier global digital services provider that specializes in empowering businesses to create outstanding digital products and services. We focus on delivering innovative solutions that address our clients' challenges through technology integration and modernization.

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