Senior Business Intelligence Architect

Vultr

$125K — $150K *
US-AnywhereRemote in United States
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in Business Intelligence, Data Warehousing, or Data Analytics, including 3 years in finance-focused visualizations.
  • Expertise in Google BigQuery and ETL tools such as Fivetran.
  • Proficiency in Power BI, including dashboard design and DAX.
  • Experience integrating data from Netsuite and Salesforce.
  • Understanding of dimensional modeling and data governance best practices.
  • Strong communication skills to connect technical data with business context.
  • Bachelor's or Master's in a quantitative field.

Responsibilities

  • Architect and manage the BI infrastructure using Google BigQuery, Fivetran, Looker, and Power BI.
  • Develop dashboards and reports focused on KPIs for various departments including Finance and Marketing.
  • Lead the BI strategy roadmap to ensure technological synergy.
  • Perform data modeling and ETL/ELT to unify data from multiple sources.
  • Collaborate with executives to define data requirements and reporting structures.
  • Empower business units with self-service analytics capabilities.
  • Ensure data security and compliance for reporting environments.

Benefits

  • Opportunity to work in a high-growth technology environment.
  • Visibility in a role that interacts with executive leadership.
  • Chance to shape the BI strategy and impact decision-making organization-wide.
Full Job Description
Senior Business Intelligence Architect

Join Vultr

Vultr is seeking a highly skilled and experienced Senior Business Intelligence Architect to establish and operationalize the foundational strategy for data-driven decision-making across the entire organization. The ideal candidate is hands-on with deep technical expertise in the modern BI stack and a proven history of transforming complex data into actionable business insights. This is a highly visible role in a high-growth technology company, which will require technical mastery of data engineering, data modeling and visualization, and cross-functional partnership.

Key Responsibilities
  • Architect and maintain the end-to-end BI infrastructure, leveraging Google BigQuery, Fivetran, Looker, and Power BI to ensure data integrity, reliability, and accessibility.
  • Lead the development of key dashboards and reports, with a heavy focus on Power BI, to monitor critical KPIs across Finance, Sales (Salesforce/Netsuite), Marketing, and Operations.
  • Drive the BI strategy roadmap tech stack in its entirety to achieve synergy and a cohesive vision.
  • Perform complex hands-on data modeling and ETL/ELT work to integrate data from diverse sources, including Netsuite, Salesforce, and a Homegrown application.
  • Collaborate closely with executive leadership to understand strategic objectives and translate them into measurable, actionable data requirements and reporting structures.
  • Engage directly with business unit owners to democratize data and enable self-service analytics where appropriate, reducing reliance on the central BI team for routine requests.
  • Oversee data security and compliance measures related to data assets and reporting environments


Qualifications
  • 7+ years of progressive experience in Business Intelligence, Data Warehousing, or Data Analytics, with 3 years in building business AND Accounting & Finance-focused visualizations and user interfaces
  • Expert-level proficiency with the modern cloud BI stack, specifically Google BigQuery, and extensive practical experience with ETL tools like Fivetran.
  • Demonstrated Mastery of Power BI (dashboard design, DAX, performance tuning, and administration) is a mandatory requirement.
  • Proven ability to integrate data from core enterprise platforms, including Netsuite and Salesforce.
  • Deep understanding of dimensional modeling (Kimball) and data governance best practices.
  • Exceptional ability to bridge the gap between technical data details and executive-level business context.
  • Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Finance).


Compensation

$125,000-$150,000

This salary can vary based on location, years of experience, background and skill set.

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