Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Понятный путь в архитектуру данных с поддержкой опытных коллег и практической работой с Databricks и финансовыми данными; при этом домен компании не так тесно связан с технологиями, как профильный IT-продукт.
Рост в архитектуру
Современный стек данных
Понятные задачи
Крупная компания
Мэтч & Сопровод
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Текст:
Hirify AI/Оригинал
TL;DR
Associate Solution Architect - Data (SQL/Databricks): Turning Finance and business requirements into trusted data solutions with an accent on data profiling, modelling, source-to-target mapping, reconciliation, quality, and lineage. Focus on building reusable data models, supporting data products, and developing end-to-end solution design alongside Data Engineers, BI teams, and experienced Solution Architects.
Location: Auckland, New Zealand; hybrid workplace
Company
hirify.global is a New Zealand dairy co-operative investing in Data & AI to automate and augment finance through data products and selective AI proof-of-concepts.
What you will do
Translate Finance and business requirements into trusted, well-designed data solutions.
Use SQL and Databricks to investigate and profile source data.
Build and maintain data models and ERDs, develop source-to-target mappings, and support data reconciliation, quality, and lineage.
Work with Data Engineers and BI teams to ensure data products follow agreed designs.
Develop capability in dimensional modelling, data warehousing, Databricks, Finance data, and semantic modelling with guidance from experienced Solution Architects.
Requirements
Strong technical data foundation with experience in data analysis, BI development, analytics engineering, data warehousing, or data modelling.
Comfort using SQL to explore and validate data.
Ability to understand how different datasets fit together and develop robust, reusable data models.
Interest in broadening skills into end-to-end data solution design while remaining hands-on with data and delivery.
Willingness to ask questions, learn from experienced practitioners, accept feedback, and progressively take greater ownership of data design.
Culture & Benefits
Values include Good Together, Better Every Day, and Every Drop Counts.
Fair and equitable pay, health and well-being programs, including medical and mental health support.
Professional development and career growth support.
Work-life balance options, including flexible and hybrid working where possible.
Employee recognition, community involvement, and cultural connection support.
Inclusive workplace welcoming applicants from all backgrounds; accessibility accommodations are available during the process.
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