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HomeCompaniesWIZELINESenior Data Architect

Senior Data Architect

WIZELINE · Beaverton · Remote · Active · Greenhouse

Job facts

FieldValue
CompanyWIZELINE
TitleSenior Data Architect
Normalized title-
Department / teamData Engineering
LocationUnited States
Work modelRemote / Remote
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2025-01-20 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from WIZELINE.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Data Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyWIZELINE
Sourcecd1fe33c-dd3d-4ab2-8480-55ef9d713006
ATS providerGreenhouse

Description

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 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 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 About Us Wizeline prioritizes a culture of diversity and development for its nearly 2,000 person team spread across the globe. We believe great technology comes from a mix of talents and perspectives. Our core values of ownership, innovation, community, and inclusivity are central to our work. Wizeline is invested in its employees' growth, offering opportunities to create personalized career paths and develop in-demand skills. We even have a free education program, Wizeline Academy, to help both employees and the broader community upskill in tech. Apply now!

Full job record

Job IDa7390e4e8c4c6525e8348c7a9ea82efa467c8f43
Org ID1e432f85-feb6-456d-a238-75b211461ddc
Source IDcd1fe33c-dd3d-4ab2-8480-55ef9d713006
Board IDcd1fe33c-dd3d-4ab2-8480-55ef9d713006
Providergreenhouse
Provider Job Key6559551
TitleSenior Data Architect
Normalized Title
Statusactive
Activeyes
Location TextBeaverton
DepartmentData Engineering
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://www.wizeline.ai/careers/job?gh_jid=6559551
Apply URLhttps://www.wizeline.ai/careers/job?gh_jid=6559551
First Seen At2026-05-29 22:43:14Z
Last Seen At2026-06-06 07:35:25Z
Last Checked At2026-06-06 07:35:25Z
Last Changed At2026-05-29 22:43:14Z
Inactive At
Source Posted At2025-01-20 20:55:44Z
Source Updated At2025-11-24 19:54:23Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=wizeline/date=2026-06-06/2026-06-06T07-35-25-230Z-6681907f64af5d489d79e29c3091276bd094251ebd3f2ea7224c321edbc8b43e.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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