Senior Principal Solutions Architect, Data Platform

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** About Invesco
** As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.#
** The Department
** Our mission is to create world-class, client-centric technology solutions that drive competitive advantage, grow our global business, and deliver an investment experience that helps people get more out of life. This mission is fueled by inventive and cohesive teams, which thrive on collaboration and shared trust and demonstrate the diversity of thought. Our success is driven by our people, which is why we invest heavily in our talent, promoting continuous learning and development, offering opportunities to work with emerging technologies, and creating the space to discover.

Our high-performing, One Tech team is seeking candidates who innovate, operate effectively in an agile environment, challenges the status quo and are driven to succeed.
** Your Role
**** You will be responsible for:
*** Translate complex business requirements into scalable, secure, and innovative data architecture by partnering with cross-functional stakeholders—including product owners, engineering leads, enterprise architects, and operations teams—to design and implement enterprise-grade solutions. This includes leading design reviews, mentoring delivery teams on best practices, and leveraging approved platforms and tools to drive strategic outcomes and operational efficiency.
* Provide strategic leadership across business, delivery, and architecture teams to drive alignment between enterprise objectives and technical execution.
* Develop and communicate high-impact architectural artifacts—including solution diagrams, narratives, and reference models—that clearly articulate how proposed designs meet business objectives while conforming to enterprise technology governance.
* Lead architecture review sessions, influence stakeholder alignment across business, engineering, and governance teams, and ensure traceability from requirements to implementation through well-documented design decisions.
* Cultivate strategic partnerships and foster alignment across key stakeholder groups—including business leaders, application owners, engineering, operations, and infrastructure teams—to ensure architectural solutions are well-integrated, scalable, and aligned with enterprise priorities.
* Lead cross-functional collaboration forums, drive consensus on solution design decisions, and serve as a trusted advisor in bridging business needs with technical execution.
* Apply enterprise-level architectural thinking to design solutions that holistically align with overarching business strategies and objectives.
* Anticipate future growth, integration needs, and evolving technology landscapes to architect scalable, resilient, and adaptable systems that ensure long-term sustainability, performance, and governance compliance across the organization.
* Design and implement scalable metadata integration strategies across diverse data sources and analytics platforms, including the development of automated ingestion workflows and centralized metadata repositories.
* Design and implement automated data classification and tagging frameworks that align with enterprise governance policies and regulatory compliance standards. Collaborate with data governance, security, and engineering teams to embed these capabilities into data pipelines and platforms, ensuring consistent metadata management, auditability, and risk mitigation across the data ecosystem.
* Provide strategic leadership in responsible and ethical AI deployment by partnering with Legal, Privacy, Cybersecurity, and Risk teams to embed governance, compliance, and accountability into AI and data-driven solutions. Lead enablement programs for data stewards, analysts, and AI practitioners to…