Role Description:

We are recruiting an AVP-level Data Scientist and ETL Developer to design, build, and operate robust data integration and analytics pipelines that power State Street’s risk analytics and reporting products. The role is primarily hands-on: you will develop and maintain ingestion, transformation, validation, and publishing workflows used to onboard client and vendor data sources, standardize them to enterprise data models, and deliver timely, high‑quality outputs to downstream risk, regulatory, and management reporting platforms. You will partner closely with senior leads (VP/MD) and peer engineers to translate requirements into reliable production workflows and continuously improve controls, observability, and automation.

Function

This role sits within Risk Services and supports the execution of the risk data integration roadmap. You will collaborate with product managers, operations, and engineering leads to modernize data movements (batch and event-driven patterns), improve reliability of existing pipelines, and support migrations from legacy implementations to target-state architectures while adhering to regulatory and control requirements.

Responsibilities:

• Build and enhance data integrations: Develop ingestion, mapping, validation, and publishing processes to onboard client and market data from multiple custodians and vendors into standardized schemas supporting risk analytics and reporting.

• Develop and maintain ETL/ELT workflows: Implement and maintain production-grade pipelines (primarily batch, with some event-driven components), including transformation logic, data quality rules, lineage, and exception handling.

• Support model-ready data preparation: Work with data science partners to curate training/inference datasets and feature pipelines; support repeatable scoring and monitoring patterns where applicable.

• Participate in integration patterns & design: Contribute to reference patterns (API, file, messaging/streaming, CDC) and documentation; participate in design reviews and propose improvements to simplify and standardize integrations.

• Testing and release support: Create/execute test plans for pipeline changes, support CI/CD and release activities, and ensure environment configuration and dependency readiness.

• Production reliability: Work with production support to implement monitoring, alerting, and run-books; participate in incident triage and root-cause analysis; address defects and performance issues.

• Data quality & controls: Implement reconciliation, validation, and auditability controls aligned to internal policies and external regulations for risk data.

• Stakeholder collaboration: Partner with product and operations teams to clarify requirements, estimate delivery, and communicate status/risks for assigned work items.

• Documentation & knowledge transfer: Maintain technical specifications, mappings, and run-books; provide knowledge transfer to global support teams and mentor junior engineers when needed.

Skills (What we’re looking for)

Essentials

• Hands-on ETL/ELT using Pervasive (Actian Data Connect) or equivalent mapping tools; able to maintain canonical mappings with robust data-quality rules, reconciliations and back-out plans.

• Operate file-based ingestion using ROSCO/Filewatcher and hand off into the downstream Process Manager; implement monitoring, retries, and run-books for production readiness.

• Strong SQL engineering on SQL Server and/or Oracle, including performance tuning for high-volume batch workflows supporting risk analytics.

• Reporting stack support: configure and troubleshoot SSRS render jobs and dependencies; familiarity with evolving delivery patterns via APIs and custom risk dashboards.

• Proficiency in .NET (Framework and .NET Core) for building/maintaining integration utilities and services; participate in code reviews and engineering standards.

• Experience with Azure services—especially Azure Service Bus for evented workflows; prior RabbitMQ→Service Bus migration exposure is a plus.

• Working knowledge of publishing risk data into SSCD/Snowflake data marts (lineage, reconciliation, and control expectations).

Nice to have

• IBM Data Stage and/or Talend for ETL, and Airflow for orchestration.

• Kafka or IBM MQ messaging patterns; Databricks/Snowflake data engineering experience under enterprise standards.

• Python/Scala for data processing and automation, including test harnesses and DQ validations.

• Familiarity with enterprise SDLC/governance and operational control expectations in financial services.

Experience:

• 10+ years total experience in data integration / data engineering / analytics engineering, with at least 5+ years building and operating production data pipelines.

• Demonstrated ability to deliver independently on assigned work items, with experience collaborating in Agile delivery teams.

• Experience mentoring junior engineers and contributing to reviews/standards (formal people management is not required).

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics or related field; advanced degree is a plus.

Split of role

• Design & development (hands-on delivery): 60%

• Production reliability & support enablement: 20%

• Analysis, documentation, and testing: 15%

• Stakeholder management & planning: 5%

Key relationships

• Internal: Product managers (Risk Services), Data Engineering, Production Support, Client Service/Operations.

• External: Data vendors and technology partners as needed for onboarding and format/API changes.

• Work schedule & travel

Primary location Bangalore, with periodic evening overlap to support EMEA/NA stakeholders; occasional travel may be required for workshops or go‑lives.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

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.

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