Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
$160к-200к/год
$160к$190кмедиана$210к
По похожим ролям (48) ~ $190к/год
На СНГ рынке: $4.2к/мес ($3.4к - $5.9к)
82
Хорошая вакансия
развернуть
Роль описана чётко: это архитектура данных на GCP, практическая разработка и руководство работой с клиентами. В консалтинговой среде проекты и приоритеты могут меняться.
Кликните для подробной информации
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Architect (GCP) (Data Lakehouse): Designing and implementing scalable Data Lakehouse platforms and data products on Google Cloud with an accent on real-time and batch pipelines, governance, security, and performance. Focus on leading client architecture engagements, mentoring delivery teams, and solving complex data platform and optimization challenges.
Location: Remote
Salary: $160,000–$200,000 per year; final level and applicable range are determined during the interview process based on experience, skills, interview outcomes, and geographic location.
Company
hirify.global is a data-first engineering and delivery company helping clients use Google Cloud and Salesforce platforms to drive action and impact through data and insights.
What you will do
Architect, design, and implement scalable Data Lakehouse solutions on Google Cloud using BigQuery, GCS, BigLake, and Dataplex.
Work with customers to translate business goals, data challenges, and technical requirements into architectural blueprints and implementation plans.
Design real-time and batch data ingestion pipelines with modern orchestration and streaming frameworks.
Establish data cataloging, metadata, lineage, quality, security, access control, and governance practices.
Lead project teams, mentor engineers, review solutions, and maintain architectural consistency across deliverables.
Balance strategic architecture work with hands-on proof-of-concepts, pipeline deep dives, and performance tuning while advising clients on trade-offs and best practices.
Requirements
6+ years of progressive experience in Software Engineering and Data Platform development, including 5+ years architecting data platforms on GCP and/or Databricks.
Hands-on experience designing and deploying Data Lakehouse platforms with data products and medallion architectures.
Strong knowledge of real-time and batch ingestion, ETL/ELT pipeline design, and orchestration using Airflow, Pub/Sub, or similar frameworks.
Expertise in data modeling, storage optimization, partitioning, and performance tuning for large-scale analytical workloads.
Experience implementing data governance, security, and cataloging solutions such as Dataplex, Data Catalog, IAM, or equivalent technologies.
Excellent communication and presentation skills for engaging technical and non-technical stakeholders and guiding clients through solution decisions.
Ability to lead mixed teams of engineers, analysts, and architects while combining architectural vision with hands-on delivery.
Strong problem-solving skills, curiosity about new technologies, and the ability to move between architecture discussions and code-level troubleshooting.
Nice to have
Experience with Databricks, including Delta Lake and Unity Catalog, and hybrid GCP-Databricks data architectures.
Culture & Benefits
Remote work in a fast-growing, entrepreneurial, data-first environment.
Health insurance, paid vacation/PTO, paid holidays, sick leave, parental leave, and bereavement leave.
401(k) employer match and employee referral bonuses.
Learning-oriented culture focused on solving difficult problems and continuous innovation.
Employment is subject to standard hiring verification practices, which may include background and employment checks.
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 →