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Hunter Douglas is the world’s leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we’ve defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally. We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What’s yours? One of the pillars of our North American division is spread across four different sites in Mexico where a blend of manufacturing and fabrication occurs. At each location we pride ourselves on exemplary safety and employee-first standards, as we pioneer production processes to be best in class. It is our focus on quality and growth that makes us an employer of choice and helps us maintain our culture of excellence
Job Responsibility
Define pragmatic architecture patterns for internal applications, customer-facing tools, workflow systems, integrations, and AI-enabled applications
Assess existing applications and business-built tools to determine what should be hardened, rebuilt, integrated, automated, supported, retired, or left alone
Guide build-vs-buy-vs-extend decisions, balancing speed, cost, reliability, security, maintainability, and business value
Translate business goals into practical technical roadmaps with clear tradeoffs, sequencing, ownership, and success measures
Improve the reliability, scalability, maintainability, security, and user experience of legacy, vendor, professional, and business-built applications
Help teams move from prototypes, scripts, spreadsheets, low-code tools, and AI-generated applications to secure, supportable software where the business case justifies it
Drive refactoring, API enablement, integration cleanup, cloud modernization, data model improvements, and simplification where they create meaningful value
Reduce technical debt with judgment, avoiding both unnecessary rewrites and fragile short-term fixes
Rapidly design and build prototypes, reference implementations, APIs, workflow applications, and critical application components
Contribute code when needed to unblock delivery, prove an approach, or establish a high-quality pattern
Review technical designs and code from engineers, vendors, consultants, analysts, and business technologists
Help teams move from 'working demo' to production-grade software with appropriate testing, deployment, observability, and support
Coach engineers, analysts, data/AI practitioners, business technologists, and delivery teams on practical software architecture and engineering practices
Create reusable templates, starter kits, design patterns, and lightweight standards that help teams build better software faster
Partner with leaders across sales, operations, pricing, customer experience, manufacturing, service, IT, data, analytics, and AI to anchor architecture decisions in measurable business outcomes
Requirements
10+ years of software engineering, application architecture, platform engineering, or senior technical leadership experience
A track record of designing, building, modernizing, and operating applications used by real users in real business environments
Strong hands-on engineering capability in modern application stacks
Experience improving complex application environments with a mix of legacy systems, vendor platforms, custom software, prototypes, and business-built tools
Strong judgment on when to refactor, rewrite, wrap, buy, retire, automate, or leave something alone
Comfort influencing without formal authority across engineers, vendors, consultants, analysts, business technologists, and senior leaders
Clear executive communication and strong technical credibility with engineering teams
A multiplier mindset: you improve not only the application in front of you, but also the organization’s ability to build better software repeatedly
Bachelor’s degree in Data, Engineering, Computer Science, Business, or related field (Master’s preferred)
5+ years of experience in data, analytics, technology, consulting, or digital transformation roles
What we offer
Generous benefits package including medical, dental, vision, life, disability
A company culture that prioritizes internal development and professional growth