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
** Step into a pivotal role where your expertise will shape the future of enterprise data capabilities in financial services. As Senior Principal Solutions Architect, you'll lead the design and delivery of innovative, secure, and scalable data solutions that drive business transformation. You'll collaborate with talented teams across the enterprise, translating complex business needs into strategic architectures that power automation, AI, and advanced analytics.

If you thrive on solving challenging problems, influencing technology direction, and making a lasting impact on how data is leveraged across an organization, this is your opportunity to be at the forefront of data-driven innovation.
** 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 standards.
* 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.
* 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 promote responsible data and AI usage.
* Evaluate new technologies to maintain advanced data capabilities.
* Lead change management initiatives to ensure successful adoption of new platforms, processes and practices.
* Management of relationships with technology vendors, service providers, and external partners.
* Lead the design and implementation of data observability frameworks that monitor data health across ingestion, transformation, and consumption layers.
* Champion the adoption of observability practices across…