
1001 - 5000 employees
Founded 2010
🏢 Enterprise
Enterprise
Vantage Data Centers is a company specializing in the design, development, and operation of highly flexible and scalable data centers. These data centers cater to hyperscalers, cloud providers, and large enterprises, offering state-of-the-art facilities across 5 continents and 21 markets. Vantage focuses on providing large-scale campuses that enable customers to grow steadily, with over 23 million square feet dedicated to data center space and 2. 6GW+ of power capacity. Committed to sustainability and efficiency, Vantage ensures 100% uptime with standardized designs offering predictability and performance. The company is backed by prominent investors such as DigitalBridge Group and Silver Lake, maintaining a strong financial standing and excellent customer satisfaction rates.
🔥 0 minutes ago
🌵 Arizona, Colorado, +1 more states – Remote
⏰ Full Time
🟢 Junior
🟡 Mid-level
⚙️ Systems Engineer
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 2010
🏢 Enterprise
Enterprise
Vantage Data Centers is a company specializing in the design, development, and operation of highly flexible and scalable data centers. These data centers cater to hyperscalers, cloud providers, and large enterprises, offering state-of-the-art facilities across 5 continents and 21 markets. Vantage focuses on providing large-scale campuses that enable customers to grow steadily, with over 23 million square feet dedicated to data center space and 2. 6GW+ of power capacity. Committed to sustainability and efficiency, Vantage ensures 100% uptime with standardized designs offering predictability and performance. The company is backed by prominent investors such as DigitalBridge Group and Silver Lake, maintaining a strong financial standing and excellent customer satisfaction rates.
• Lead execution of EHS systems stabilization efforts, including identifying and resolving data and configuration inconsistencies • Support governance and standardization of EHS workflows, ensuring alignment with defined data standards and business logic • Partner with platform owners (e.g., Procore, ServiceNow) to maintain system integrity and scalable configurations • Support development and enhancement of EHS executive dashboards, scorecards, and predictive analytics tools • Translate operational EHS needs into clear data, reporting, and system requirements • Partner with data engineering teams to support data pipelines, quality, and reporting reliability • Perform QA and validation of analytics outputs to ensure accuracy, consistency, and trust • Help define and implement governance and change management processes for EHS systems and analytics • Track adoption metrics and identify opportunities to improve system usage and data quality • Identify process gaps, system risks, and opportunities to reduce technical or system debt • Support development of documentation, standards, and operating procedures • Act as a cross-functional liaison between EHS, IT, data engineering, and operations teams • Partner with regional stakeholders to drive consistency in system usage and data entry practices • Surface dependencies across adjacent initiatives and support alignment across teams • Contribute to continuous improvement initiatives that enhance scalability and operational efficiency
• 2+ years of experience in analytics, systems enablement, operations analytics, or a related discipline • Experience supporting enterprise or multi-regional systems or analytics implementations • Background in EHS ideally within construction, infrastructure, manufacturing, or other operational environments strongly preferred • Strong analytical and systems-thinking mindset with the ability to identify root causes and drive solutions • Comfortable working in ambiguous environments with evolving processes and incomplete documentation • Experience with data visualization and reporting tools (e.g., Power BI or similar) • Familiarity with enterprise platforms such as Procore, ServiceNow, or equivalent systems • Understanding of data quality, data governance, and data lifecycle concepts • Working knowledge of how data flows from source systems to reporting and analytics layers • Ability to partner effectively with data engineering teams
• Health and welfare benefits exceeding local expectations • Retirement benefits • Paid leave benefits
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