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Lead BI Engineer
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Remote | 40 Hours/Week
Location | Remote | Anywhere in the U.S.
Lead the design, development, and optimization of enterprise Business Intelligence platforms and data solutions. This role combines BI administration, automation, cloud migration, data visualization, and technical leadership across complex enterprise environments.
Role Highlights
- Work across BI, automation, cloud, and data engineering.
- Contribute to high-impact enterprise technology projects.
Key Responsibilities
- Lead BI platforms across Cognos, Tableau, and Power BI, ensuring performance and reliability.
- Drive cloud initiatives across Azure, AWS, and Oracle using Kubernetes and Docker.
- Develop data solutions including dashboards, data models, reports, integrations, and enterprise workflows.
Full Job Description
Position Details
Company: MSH International, LLC
Position: Lead BI Engineer
Reference #: LBIE72VS
Work Location: Position may telecommute / work remotely from anywhere in the U.S.
Schedule: 40 hours/week
About the Role
The Lead BI Engineer is responsible for the end-to-end design, development, administration, and automation of enterprise Business Intelligence (BI) platforms and data delivery systems.
The role involves Cognos administration, data visualization, workflow automation using Stonebranch, and cloud migrations across multi-environment ecosystems, including on-premises and cloud environments.
You’ll collaborate with cross-functional teams, architects, and business stakeholders to ensure the availability, scalability, and performance of BI and automation solutions that support data-driven decision-making across the organization.
BI Platforms & Data
- Administer and maintain Cognos, Tableau, and Power BI platforms, ensuring stability, availability, and optimized performance across multi-tiered environments.
- Design and develop dashboards, data models, and analytical reports that provide actionable insights to business and technical stakeholders.
- Perform BI platform upgrades, patch management, and environment migrations with minimal business disruption.
- Support data delivery systems and data visualization tools across enterprise environments.