Lead Software Engineer - Cloud Data Pipelines & AI
State Street
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Benefits offered by this job
Job summary
State Street is seeking a Lead Software Engineer to drive development, enhancement, and maintenance of the Enterprise Investment Performance Calculation Engine and related Info Delivery components. This role focuses on building cloud-based data solutions for North America clients.
You will lead technical direction, design scalable pipelines on Azure/DataBricks/Snowflake, and collaborate with a global team to deliver high-quality data for BI, AI/ML models and business insights.
Qualifications
- Bachelor’s Degree in computer/IT with 8+ years of experience.
- Onsite with 4 days in office and one day remote.
- Experience leading architecture, design and data pipelines.
Responsibilities
- Provide technical leadership across architecture, system design, and code quality; mentor team.
- Design, build and maintain scalable data pipelines on Azure, DataBricks & Snowflake.
- Collaborate with global engineers and analysts to deliver reliable data for BI and AI/ML models.
- Support implementation/operations teams with platform accelerators and design patterns.
- Release engineering automation for code distribution across client regions.
- Optimize total cost of ownership for compute and platform infrastructure.
- Oversee overnight COB/SOB processing for Investment/Fund/Performance data and client info delivery.
- Perform impact analysis, root-cause analysis and preventive maintenance.
Skills
Education
Tools
Job description
State Street is seeking a Lead Software Engineer to drive development, enhancement, and maintenance of the Enterprise Investment Performance Calculation Engine and related Info Delivery components. This role focuses on building cloud-based data solutions for North America clients.
You will lead technical direction, design scalable pipelines on Azure/DataBricks/Snowflake, and collaborate with a global team to deliver high-quality data for BI, AI/ML models and business insights.
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