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About the Role

State Street Global Alpha Data Platform allows clients to load, enrich, and aggregate investment data, providing a holistic view of their holdings. This platform leverages State Street's extensive experience in servicing complex instruments and its investment in advanced data management technologies.

Responsibilities

• Provide analysis and input into designs of Alpha Data Services platform to support a rapidly-growing business on a massive scale.
• Provide data solutions to ADS clients and support client implementation and onboarding teams.

Requirements

• Bachelor’s Degree in Computer Science, Information Technology, Finance, or Accounting
• 10-15 years of experience in data integration/orchestration services, data governance, service architecture, and data modeling
• Experienced hands-on ETL, Snowflake, CI/CD Pipelines, and data-readiness design, development, and implementation
• Experience in designing and implementing relational data models for a variety of data sets including audit, time series, complex relationships, and high-volume
• Experience and understanding of system performance and profiling techniques of complex data models for storage and consumption
• Exposure to business data domains like Holdings, Transactions, Security Reference data, Performance and Attribution, ESG etc.
• Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions
• Demonstrate strong collaborative experience
• Good understanding of SDLC practices
• Experience on Azure and Snowflake architect/design/development is a plus
• Experience with Qlik Replicate and Compose tools (Change Data Capture) is considered a plus
• Strong Data warehousing Concepts, ETL tools like Pentaho/Kettle, Talend Cloud Data Integration tool and Kafka
• Strong SQL knowledge is a must
• Exposure to the financial domain is considered a plus
• Cloud Managed Services like MS Azure/Devops is considered a plus
• Prior experience with State Street and Charles River Development (CRD) is considered a plus
• Familiarity with external systems such as Bloomberg, Reuters, Rating agencies and Benchmark data providers

Skills

• ETL
• Snowflake
• CI/CD Pipelines
• Data Modeling
• SQL
• Data Warehousing Concepts
• Pentaho/Kettle
• Talend Cloud Data Integration
• Kafka
• Azure
• DevOps
• Qlik Replicate
• Qlik Compose
• Change Data Capture

Experience Level

• 10-15 years

Education Level

• Bachelor’s Degree in Computer Science, Information Technology, Finance, or Accounting

Benefits

• Competitive and comprehensive benefits packages
• Generous medical care
• Insurance
• Savings plans
• Flexible Work Program
• Development programs
• Educational support
• Paid volunteer days
• Matching gift program
• Access to employee networks
• Inclusive development opportunities
• Flexible work-life support

About the Company

• State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world.
• We are making our mark on the financial services industry through technology and product innovation.
• For over two centuries, we have been helping clients safeguard and steward investments.
• We provide investment servicing, data & analytics, investment research & trading, and investment management to institutional clients.
• Institutional investors rely on us to help manage risk, respond to challenges, and drive performance and profitability.
• We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential.

Equal Opportunity

• State Street is an equal opportunity and affirmative action employer.
• As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.