Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
Средняяразвернуть
$168к-190к/год
$140к$180кмедиана$210к
По похожим ролям (50) ~ $180к/год
На СНГ рынке: $3.8к/мес ($3.4к - $4.7к)
87
Хорошая вакансия
развернуть
В Company hidden чётко описана клиентская роль в архитектуре данных с серьёзной технической составляющей и понятным набором льгот; работа оплачивается по клиентским проектам, и нужно вести несколько проектов одновременно.
?Несколько проектов
Современный стек данных
Сильный соцпакет
Инфраструктура данных
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Resident Solution Architect (dbt): Delivering customer implementations, troubleshooting, architecture, and data transformation solutions for dbt Platform Enterprise customers with an accent on dbt, cloud data platforms, SQL, and Python. Focus on designing scalable modern data stack solutions, managing multiple technical engagements, and solving complex customer-specific integration and adoption challenges.
Location: Remote, based in the United States; focus on MST, CST, and EST timezones. Approximately 10% travel is expected for customer visits, company retreats, and offsites.
Salary: $167,983–$190,000 USD per year.
Company
hirify.global builds automated data movement infrastructure, and together with dbt Labs provides tools for moving, transforming, and governing data for analytics, AI, and business decisions.
What you will do
Deliver customer technical projects, including implementations, configuration troubleshooting, best-practice adoption, and MVP and long-term solution design.
Advise customers on architecture and solution design for dbt Platform Enterprise deployments.
Drive product adoption among strategic dbt Platform customers and become a dbt expert within the modern data stack.
Collaborate with Sales, Solution Architects, Training, and Support teams.
Provide structured feedback to product and engineering teams to improve customer-request prioritization and resolve engagement-specific issues.
Requirements
Deep experience working with enterprise customers across varied use cases, preferably in a customer-facing post-sales, technical architecture, or consulting role.
Deep expertise in at least one data platform: Snowflake, Databricks, BigQuery, or Redshift.
At least 2 years of dbt experience, ideally including 1 year with dbt Platform.
Proficiency in SQL and some experience with Python.
Ability and willingness to build technical skills supporting dbt Platform deployment and integrations.
Customer-focused approach and strong organizational skills, including managing scope, timelines, and deliverables across multiple concurrent engagements.
Clear, concise communication with internal and external stakeholders about complex technical, architectural, and organizational problems, with the ability to propose thorough iterative solutions.
Approximately 10% travel for occasional customer visits, company retreats, and offsites.
Nice to have
dbt Analytics Engineering Certification.
Experience advising on dbt Platform recommendations and building customer consensus.
Experience with traditional enterprise ETL tools such as Informatica, Datastage, or Talend.
Culture & Benefits
Remote organization that values transparency and cross-collaboration.
Employer-paid medical insurance, with coverage varying by country and worker type.
Paid vacation or flexible/unlimited vacation depending on role and country, paid sick time, inclusive parental leave, paid holidays, a year-end Global Week of Rest, and volunteer days off.
RSU stock grants, professional development and training opportunities, and a monthly cell phone stipend.
Mental health support including therapy, coaching, and self-guided mindfulness resources for covered employees and dependents.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →