Senior Principal Solutions Architect, Data Platform1110 Invesco Group Services, INC. • Houston, Texas, United States
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Senior Principal Solutions Architect, Data Platform
1110 Invesco Group Services, INC.
- Houston, Texas, United States
- Houston, Texas, United States
Über
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.
Additional information
MBA or commensurate relevant work experience #LI-SD1 Full Time / Part Time: Full time Worker Type: Employee Job Exempt: 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.
Equal opportunity and closing 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. Invesco is an equal opportunity employer. The information above indicates the general nature and level of work performed by employees within this role and is not a comprehensive inventory of duties. The job holder may be required to perform other duties as deemed appropriate by their manager. Our culture of inclusivity and commitment to diversity in the workplace are shown through our people practices. #J-18808-Ljbffr
Sprachkenntnisse
- English
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