Высокая зарплата, понятные обязанности и работа в AI-продукте делают вакансию привлекательной, хотя единоличное администрирование BI для 700 пользователей может означать большой поток поддержки.
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Много поддержкиАктуальные технологииВыше рынкаСфера ИИ
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Текст:
Hirify AI/Оригинал
TL;DR
Data Visualization Engineer (AI): Building and administering Tableau-based BI infrastructure, dashboards, and data products that turn complex business data into decision-ready insights with an accent on SQL, visualization design, and secure data access. Focus on managing a platform used by 700 users, migrating reporting solutions, and designing standards for row-level security and visualization quality.
Location: Palo Alto, California, United States
Salary: $132,000–$198,000 USD per year
Company
Building a full super-intelligence stack spanning compute infrastructure, AI models, and applications such as Grok and X.
What you will do
Administer Tableau Server as the sole BI platform administrator, including upgrades, patches, maintenance, licensing, SSO, and data drivers.
Support 12 department sites, site administrators, and approximately 700 users through Slack and Jira.
Resolve access, ownership, data source, troubleshooting, and dashboard issues while communicating about outages and upgrades.
Design and rapidly build dashboards and data products that turn complex data into clear, decision-ready insights.
Inventory existing reports and dashboards, determining what to migrate, rebuild, or retire.
Define standards for data access, row-level security, visualization quality, and the selection of dashboards, custom applications, or AI tools.
Requirements
Strong SQL skills, including complex joins, window functions, and performance tuning.
Experience with data visualization, dashboard design, chart selection, UX, and data storytelling.
Knowledge of row-level security, data access controls, and rapid dashboard development in Tableau, Looker, Power BI, Superset, or a similar BI tool.
Understanding of SSO/SAML, APIs, monitoring, and BI platform administration.
Comfort using AI tools to accelerate analysis, development, and migrations.
Nice to have
Experience with data modeling and warehouse concepts such as star schemas and semantic layers on BigQuery, Snowflake, or Databricks.
Python or JavaScript experience for data preparation, automation, or custom visualizations.
Culture & Benefits
Equity as part of the total rewards package.
Comprehensive medical, vision, and dental coverage.
Access to a 401(k) retirement plan.
Short- and long-term disability insurance and life insurance.
Additional discounts and perks.
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