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Salary
≈ $112k – $215k per year (Estimated)
Location
In office (Denver)
Seniority
Architect

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Sep 30, 2026.

Overview
Company
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Profile match

IBM

IBM is an American technology company whose roots go back to the 1911 formation of the Computing-Tabulating-Recording Company, and which has been headquartered in Armonk, New York for decades. It defined mainframe computing, the personal computer standard and much of enterprise data processing, and today concentrates on hybrid cloud built around Red Hat, enterprise AI through the watsonx platform, consulting services and the mainframe and storage systems that still run the world's largest transaction workloads. The company also runs one of the leading quantum computing programmes and consistently ranks among the largest recipients of United States patents.

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. As an Application Architect specializing in Business Intelligence, you will design business intelligence or analytics applications that run on multiple platforms and are composed of multiple software packages/tools. Your expertise will enable organizations to improve their business performance by leveraging data about their clients, suppliers, and internal business operations. Your primary responsibilities will include:

  • Design Business Intelligence Solutions: Design the technical components of a business intelligence solution, including full lifecycle implementation, to meet business requirements and improve performance.
  • Develop Data Architecture: Create logical and physical data models for business intelligence specific information, ensuring data integrity and scalability.
  • Optimize Performance: Tune and transform business intelligence solutions to ensure optimal performance and efficiency.
  • Develop Test Strategies: Collaborate with teams to build test strategies and ensure solutions meet business requirements.
  • Deliver Solution Designs: Design solutions for dashboards, reporting, and integration, meeting business needs and stakeholder expectations. This role can be performed from anywhere in the US.
  • Business Intelligence Tool Selection: Experience with selecting and implementing Business Intelligence (BI) tools such as Tableau, Cognos, and Qlik to meet business requirements.
  • Data Architecture Design: Experience with designing logical and physical data models for business intelligence specific information, ensuring data integrity and scalability.
  • Solution Design and Implementation: Experience with designing and implementing business intelligence solutions, including full lifecycle implementation, to meet business requirements and improve performance.
  • Performance Tuning and Optimization: Experience with tuning and transforming business intelligence solutions to ensure optimal performance and efficiency.
  • Technical Component Design: Experience with designing technical components of a business intelligence solution, including reporting wireframe creation and dashboard design.
  • Strategy Development Expertise: Experience with developing strategies for business intelligence solutions, including aligning with business objectives and identifying opportunities for improvement. This involves analyzing business needs, defining solution requirements, and creating strategic plans for implementation.
  • Data Modeling Knowledge: Experience with logical and physical data modeling for business intelligence specific information, ensuring data integrity and scalability. This includes designing data architectures, creating data models, and ensuring data quality.
  • Performance Optimization Skills: Experience with tuning and transforming business intelligence solutions to ensure optimal performance and efficiency. This involves identifying performance bottlenecks, optimizing system configuration, and implementing best practices for performance improvement. United States Infrastructure & Technology Hybrid Professional Denver, US (0147) International Business Machines Corporation
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