Senior Data Architect

Wizeline • Beaverton, OR

192d

About The Position

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

Requirements

• Bachelor's degree in Business, Computer Science or equivalent
• 7+ years of experience working in technology, preferably in BI and Analytics
• 5 years' experience in Data Modelling and design
• 5 years of experience in data analysis, business analysis or system analysis
• Experience using CA Erwin or Hackolade or other similar modelling tool
• Strong knowledge of relational and dimensional data modelling concepts
• Strong knowledge of data architecture and database structure
• Strong data analysis skills
• Strong SQL skills
• Experience with big data and cloud with Databricks & Snowflake is preferred
• Experience, interest and adaptability to working in an Agile delivery environment.
• Ability to work in a fast paced environment where change is a constant
• Ability to handle ambiguous requirements
• Exceptional interpersonal and communication skills (written and verbal)
• Self-motivated and collaborative

Responsibilities

• 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

Benefits

• Diversity and development culture
• Opportunities to create personalized career paths
• Development of in-demand skills
• Free education program, Wizeline Academy

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees