Product Owner & Lead Engineer – Data Virtualization Platforms - Vice President
About The Position
Morgan Stanley’s Technology division is seeking a senior technologist to provide product ownership and platform engineering leadership for the Firm’s enterprise Data Virtualization platforms, as well as related AI/analytics and test data management platforms. The position owns the strategy, architecture, engineering, and operation of these platforms and leads modernization of the Firm’s data virtualization capability, including migration to a next-generation platform and expansion of governed, self-service access to data across the Firm. The role includes platform security, resilience, automation, and observability; onboarding and enabling application teams; managing vendor relationships and product roadmaps; and partnering with Engineering, Operations, Security, Risk, and business stakeholders. It balances production stability with strategic roadmap delivery and involves mentoring engineers and establishing engineering best practices. The role also covers deployments, issues, incidents, change-record execution, configuration updates, and deployment patches related to change and incident management. It is a Principal Cloud & Infrastructure Engineering I position at Vice President level.
Requirements
- 10+ years of hands-on experience in infrastructure or platform engineering.
- Experience as a product owner or technical lead for enterprise data platforms.
- Hands-on experience with data virtualization or data federation platforms, such as Denodo, TIBCO Data Virtualization, or similar.
- Strong core infrastructure fundamentals, including Linux, networking, high availability, authentication/authorization, and APIs.
- Proficiency in Python and Unix shell scripting, including experience building automation and self-service tooling.
- Experience with Agile/DevOps practices and tooling such as Git, CI/CD, and Jira.
- Experience managing vendor relationships and product roadmaps.
- Strong stakeholder management, communication, and problem-solving skills.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Nice To Haves
- Experience with AI/ML and analytics platforms, such as Dataiku, and/or test data management platforms, such as Delphix.
- Working knowledge of enterprise data platforms such as Snowflake, Databricks, or relational databases.
- Experience leading a platform migration or modernization program.
- Familiarity with observability tools, Infrastructure-as-Code, containerization, or public cloud.
Responsibilities
- Own the strategy, architecture, engineering, and operation of enterprise Data Virtualization platforms and related AI/analytics and test data management platforms.
- Lead modernization of the Firm’s data virtualization capability, including migration to a next-generation platform.
- Expand governed, self-service access to data across the Firm.
- Manage platform security, resilience, automation, and observability.
- Onboard and enable application teams.
- Manage vendor relationships and product roadmaps.
- Partner with Engineering, Operations, Security, Risk, and business stakeholders.
- Balance production stability with delivery of strategic roadmap initiatives.
- Mentor engineers and establish engineering best practices.
- Handle deployments, issues, incidents, change-record executions, configuration updates, and deployment patches related to change management and incident management.
Benefits
- Comprehensive employee benefits and perks.
- Opportunity to move about the business for employees who show passion and grit.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
