Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная senior-роль предлагает работу с современным Google Cloud и поддержку профессионального роста, но без данных о зарплате и с клиентским консалтингом сложнее оценить уровень оплаты и нагрузку.
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Зарплата не указанаАктуальный стекЧёткие задачиПоддержка обученияКлиентские проекты
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Текст:
Hirify AI/Оригинал
TL;DR
Business Intelligence Architect (Google Cloud): Leading enterprise BI tool evaluations and building governed semantic and reporting layers on cloud data platforms with an accent on Looker, Qlik, Power BI, SQL, and data governance. Focus on designing self-service BI enablement, defining operating models, protecting sensitive data, and producing decision-grade recommendations for senior stakeholders.
Location: Budapest, Hungary; remote-first and flexible working culture
Company
hirify.global is a Google Cloud Partner delivering data analytics, machine learning, infrastructure, cloud migration, and application development solutions on GCP.
What you will do
Lead structured evaluations of enterprise BI platforms such as Looker, Qlik, Power BI, and Tableau using real data and business scenarios.
Define semantic-layer, reporting, metric, and pack standards on governed cloud data warehouse and lakehouse platforms.
Build enablement kits with starter models, templates, reusable reports, guidelines, and training for business power users.
Establish the BI operating model, including responsibilities, change and release processes, and report lifecycle management.
Ensure governed KPI definitions, data-protection controls, column-level security, and policy tags are applied to reporting.
Partner with data engineers, product owners, governance stewards, and business stakeholders, including support for legacy BI migrations.
Requirements
5+ years of experience in business intelligence or analytics, including senior or lead-level delivery.
Hands-on expertise with at least one enterprise BI platform, such as Looker/LookML, Qlik, Power BI, or Tableau.
Strong SQL skills and experience with cloud data warehouses; BigQuery is preferred, with Snowflake and Redshift also relevant.
Experience with semantic or metrics modelling and enabling business self-service BI.
Knowledge of BI governance, KPI definitions, metric ownership, cataloguing, access controls, and PII protection.
Fluent English and German, written and spoken.
Nice to have
Experience selecting or migrating BI tooling from legacy platforms such as SAP BusinessObjects, MicroStrategy, or Cognos.
Familiarity with dbt, Airflow, Dataplex, Collibra, and other modern data-stack tools.
Google Cloud or Looker certifications.
Consulting, client-facing, enterprise, or retail data-estate experience.
Interest in conversational or AI-assisted analytics on governed data.
Culture & Benefits
Remote-first, flexible working culture with a collaborative expert team.
Work on modern Google Cloud data platforms alongside data engineers and architects.
Continuous learning and certification support.
Opportunities to grow into BI architecture, practice leadership, data engineering, or solution architecture.
Work on large enterprise data-platform programmes with high-impact responsibilities.
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