Senior Associate - Private Wealth Information Technology
$125,000–$145,000 year
On-siteNew York City, New York, United States
Job Summary
Design, develop, and support modern web applications and data-intensive user interfaces for Private Wealth business users using React and interactive data grids. Optimize SQL queries and database views to support reporting and operational workflows while building integrations via REST APIs and Microsoft Azure services. Partner with stakeholders to translate business processes into technical deliverables, utilizing AI tools to enhance productivity and troubleshooting. Contribute to data platform initiatives involving Snowflake or Databricks and participate in code reviews and technical design discussions. This growth role focuses on building deep platform knowledge across Blue Owl's Credit, Real Assets, and GP Strategic Capital platforms.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
- 4–5 years of experience in software engineering, application development, data engineering, or technology consulting
- Experience building modern web applications and data-intensive user interfaces, using a modern front-end framework (React preferred)
- Strong grounding in data modeling, database design, building database views, and query performance optimization
- Experience with Microsoft Azure, including web apps, Azure Functions, and Azure Data Factory
- Proficiency in SQL and relational databases; working knowledge of Python or a similar language
- Experience with REST APIs and system integrations
- Prior experience in financial services, asset management, or a related industry, with genuine interest in learning how an alternative asset management platform operates
- Strong analytical, troubleshooting, and problem-solving skills
- Excellent communication and stakeholder management abilities
Desired Qualifications
- Experience with AG Grid or similar interactive data grid libraries
- Familiarity with Azure identity, access, and networking concepts (e.g., Entra ID / Azure AD, RBAC, VNets)
- Exposure to cloud-based data platforms and data warehousing technologies (e.g., Snowflake, Databricks)
- Cloud-native architecture and DevOps practices (e.g., Git, Azure DevOps)
- Familiarity with enterprise data governance and data management practices
- Experience with AI-powered applications, large language models, Microsoft Copilot, Azure AI, or similar technologies
- Curiosity about the business — comfortable engaging with business stakeholders and motivated to understand how Blue Owl's platforms (Credit, Real Assets, GP Strategic Capital) and the private wealth distribution model work
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