Senior Principal Solutions Architect, Data Governance

Invesco-posted about 2 months ago

Full-time • Senior

Hybrid • Houston, TX

5,001-10,000 employees

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

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As a Senior Principal Solutions Architect, Data Governance, you are responsible for designing and implementing enterprise infrastructure and platforms required for automation and advancement of Data Governance. You will work with cloud engineers and application teams to design and deploy infrastructure required. You'll also deliver proof-of-concept projects, topical workshops, and lead implementation projects. Our team collaborates across the entire Invesco organization to bring Data Governance access and capabilities to product and service teams, to get the right solution delivered and drive future innovation based upon our business needs.

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 promote responsible data and AI usage.
Establish enterprise-grade feedback mechanisms and data quality dashboards to drive continuous improvement and proactive exception management across the data lifecycle.
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.

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.), 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
Ability to work in a team environment. Hybrid model with 4 days in office per week.
Ability to manage multiple Data Governance projects simultaneously, prioritize work, and meet deadlines.

Relevant certifications such as TOGAF/Agile are preferred.
A Master's of Business Administration in a related field is helpful or commensurate relevant work experience

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

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