About the Team:

The North America Client Transactions & Data team is to streamline access to Client Information. We provide predictable data that enables our partners to respond more nimbly and rapidly to our changing business environment. By centralizing and delivery of our client data as a product we provide transparent roadmaps while using a standardized consistent & predictable in engineering practices.

About the Role:

You will be responsible for supporting advanced analytics initiatives and data integration. Interact with Business Owners Product Owners Business Data Analysts and Application Developers to design build and manage large-scale batch and real-time data pipelines utilizing various data analytic position requires a strong technical hands-on-skilled engineer.A successful candidate must demonstrate strong analytical design programing and debugging skills in a large-scale analytics solution.

Responsibilities of the Role:

• Managingapplication and data integration platforms using AWS Cloud components

• Designingand building robust data pipelines using modern data engineering practices in a cloud-native architecture

• Partneringwith business stakeholders to understand requirements and support the full lifecycle of development reporting and integration projects from planning and design through testing and rollout following Agile standards

• Ensuringdata availability and enablement for business reporting and analytics within established SLAs

• Creatingand maintaining architecture documentation data models and design artifacts

• Developingand maintaining production-grade code and automation to evolve data-driven analytical capabilities with a focus on understanding customer behavior and competitive dynamics

• Identifyingand implementing innovative solutions and best practices to improve operational efficiency and pipeline reliability

• Communicating across business areas to formulate technical requirements for data ingestion validation scheduling and delivery

Requirements of the Role:

• 57years of experience working in AWS including services such as S3 RDS Lambda Glue SNS and related components

• 3-5years of experience designing building and maintaining data pipelines using Apache Airflow

• Strong understanding of ETL/ELT patterns with solid expertise in SQL and query performance optimization

• 35 years of experience working with Snowflake

• Strong programming skills in Python for data processing automation and pipeline development

• Experience with source control and collaboration tools (e.g. GitHub Bitbucket) and CI/CD practices for automated deployment of data and analytics workloads

• 1-2 years of experienceintegrating AI-driven tools or services (e.g. AWS AI servicesSnowflake Cortex CodeLLM-enabled applications or analytics platforms) into data workflowsis a plus.

• 35 years of hands-on experience in data modeling data warehousing and large-scale data architecture design

Business Acumen

• Familiarity with Agile Methodologies.

• Financial/ Investment Management industry experience

Problem Solving

• Comfortable working with ambiguity (e.g. imperfect data loosely defined concepts ideas or goals) and translating these into more tangible outputs

Leadership

• Typically no supervisory responsibilities but may provide informal guidance to new Team members

• Leads projects and processed

Education Required

• BS in Computer Science Applied Mathematics Physics Statistics or area of study related to data sciences and data mining or relevant experience

Sr. Engineer Digital Dist & Ent Engagement