USA_Developer

Pay Rate Range: $ 49.24 - 53.03/hr.

Role Title:  Data product solution engineer

Job Description:
Build Scalable Data Products for Investment Management

We are hiring a Data Product Solutions Engineer to help build and modernize mission-critical data products that power investment, operations, accounting, reporting, and risk workflows. This role is ideal for someone who enjoys solving complex engineering challenges, working with high-value financial data, and delivering scalable, reliable platforms used across the enterprise.
You will design, build, and support scalable data solutions across cloud and enterprise platforms. You will partner closely with product, architecture, operations, and business teams to deliver well-governed, production-ready data products that improve accuracy, transparency, speed, and operational resilience.

What You'll Do
•Own the design and delivery of data products and services that support investment operations, accounting, reporting, compliance, and downstream analytics.
•Develop scalable batch and near real-time data pipelines using Snowflake, AWS, Informatica, SQL, and related cloud-native technologies.
•Translate business and data requirements into technical designs, implementation plans, and production-ready solutions.
•Integrate data from enterprise and vendor platforms such as Aladdin, Markit EDM, Eagle PACE, GoldenSource, and internal cloud-based systems.
•Lead data modeling, lineage, metadata, mastering, and data quality practices to ensure data is trusted, discoverable, and reusable.
•Build observability, validation, and operational controls into pipelines to improve resiliency, traceability, and supportability.
•Partner with business analysts, architects, product owners, and operations teams to troubleshoot issues, refine requirements, and deliver iterative improvements.
•Apply strong engineering practices across design, testing, deployment, documentation, and lifecycle support.
•Use your knowledge of securities, accounts, products, pricing, ABOR, and IBOR data to build solutions that meet investment management needs.
•Collaborate with global teams to deliver consistent, high-quality engineering outcomes across regions and business functions.

Skills: Data Architecture and Modeling

Experience Required: 6-8 years

  Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1_MNData Architecture and ModelingYes1>7 years