About the role
from listingAbout 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.
What’s in it for you?
Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:
Flexible paid time off
Hybrid work schedule
401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
Health & wellbeing benefits
Parental Leave benefits
Employee stock purchase plan
Job Description
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, OneTech 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 engineering, analytics, and governance teams ensuring visibility, accountability, and operational resilience in data-driven decision-making.
The experience you bring:
10+ years of experience in enterprise architecture or solution design, preferably in financial services or asset management.
Deep expertise in cloud platforms (AWS, Azure), data platforms (SQL Server, Snowflake, etc.), analytics platforms (Power BI, Tableau, etc) and integration technologies.
Hands-on experience leading the design, development, and deployment of business software at scale
3-5 years proven track record as an AWS Solutions Architect or Senior Cloud Engineer role
Experience with software development life cycle (SDLC) and agile/iterative methodologies required
Experience with IT compliance and risk management requirements (eg. security, privacy, GDPR)
Infrastructure automation through DevOps scripting (E.g. Terraform, Python, PowerShell).
Data Governance, Data Quality, and Data Observability experience including capability implementation and integration in a large corporation desirable.
Ability to work in a team environment. Hybrid model with 4 days in office per week.
Ability to manage multiple projects simultaneously, prioritize work, and meet deadlines.
Relevant certifications such as TOGAF/Agile are preferred.
MBA or commensurate relevant work experience
#LI-SD1
Full Time / Part Time
Full time
Worker Type
Employee
Job Exempt (Yes / No)
Yes
Workplace Model
Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development.
The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.
Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.