
Posted 2 days ago
Senior Data Management Technical Analyst
State StreetSenior Data Management Technical Analyst - Wealth R&D, VP
Perks & benefits
CommissionHealth InsurancePaid Leave
Requirements
Bachelor's degree in Computer Science or Engineering, Hands-on experience with Python for data engineering, Proficiency in relational data modeling, Experience building data pipelines and analytics workflows, Experience with cloud platforms (Azure, AWS, or GCP), Experience with SQL or NoSQL databases, Experience in highly regulated financial services environments
Skills
PythonSQLAzureAWSGCPData ModelingAI/ML
About the role
Responsibilities
- Lead the design and delivery of data-centric solutions supporting analytics, AI/ML, and digital wealth use cases.
- Partner with product managers, researchers, and engineers to translate business questions into data requirements and models.
- Analyze, profile, and transform structured and semi-structured data to ensure high quality and reliability.
- Define and document data models, metrics, and analytical logic for dashboards and production systems.
- Collaborate with application and AI teams to integrate data platforms with APIs and AI/ML workflows.
- Evaluate and recommend technologies for data ingestion, governance, and observability.
- Document standards for managing sensitive and confidential information, including masking and encryption.
- Support proof-of-concept initiatives and ensure designs can scale to enterprise-grade 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/unstructured data.
- Experience building and maintaining data pipelines, analytics workflows, and data integrations.
- Hands-on experience deploying and operating applications in cloud platforms (Azure, AWS, or GCP).
- Experience with SQL and/or NoSQL databases.
- Experience working in a highly regulated financial services data environment.
- Experience handling personal and confidential data.
Preferred Qualifications
- Master’s or PhD in Computer Science, Data Science, or Engineering.
- 5+ years of experience delivering production-grade web or mobile applications.
- Experience with cloud-native architectures such as microservices and serverless.
- Experience integrating applications with AI/ML or LLM-powered services.
- Knowledge of CI/CD pipelines and infrastructure-as-code concepts.
- Experience designing and managing scalable backend services and APIs.
Benefits
- Retirement savings plan (401K) with company match.
- Comprehensive insurance coverage including medical, dental, vision, and life insurance.
- Paid time off including vacation, sick leave, and family care responsibilities.
- Annual performance-based incentive compensation.
- Access to Employee Assistance Programs and various tax-advantaged savings plans.
About the Company
State Street is a leading global provider of financial services to institutional investors. We help our clients manage risk, respond to challenges, and drive performance. We are committed to fostering an inclusive environment where employees are empowered to reach their full potential through innovation and professional development.
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State Street · Boston
