Senior Data Management Technical Analyst responsible for designing, delivering, and scaling data models, analytics, and management principles to power next-generation wealth management solutions. Will operate at the intersection of data engineering, analytics, and applied AI, translating complex business and research needs into robust, production-grade data solutions.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- Strong hands-on experience with data analysis and data engineering using Python
- Expert level proficiency with relational data modeling and managing structured, semi-structured and non-structured data in an enterprise solution.
- Experience building and maintaining data pipelines, analytics workflows, and data integrations
- Strong experience supporting full-stack applications for web and/or mobile platforms
- Understanding of Python for backend development and data-driven services
- Hands-on experience deploying and operating applications in the cloud (Microsoft Azure, AWS and/or Google Cloud Platform)
- Experience with databases and data access (SQL and/or NoSQL)
- Experience working with personal and confidential data
- Experience working in a highly regulated financial services data environment
Benefits
- Retirement savings plan (401K) with company match
- Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
- Paid-time off including vacation, sick leave, short term disability, and family care responsibilities
- Access to our Employee Assistance Program
- Incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)
- Eligibility for certain tax advantaged savings plans