Job description

Data Product Solutions Engineer 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. Must-Have Skills • Strong hands-on engineering experience building scalable data applications and pipelines in enterprise environments • Proficiency in SQL and cloud data platforms, with experience in technologies such as Snowflake, AWS, and Informatica • Experience with investment management data, including securities, pricing, accounts, products, ABOR, or IBOR • Ability to translate business needs into technical designs and deliver reliable production solutions What You Bring • 12+ years of technology and data delivery experience, preferably in asset or wealth management • Proven ability to turn requirements into sol ution designs, implementation plans, and testable outcomes. • Familiarity with AI-assisted development tools for coding, testing, documentation, and design acceleration is a plus. • Strong communication, problem-solving, and collaboration skills, with the ability to work effectively across engineering, product, operations, and business teams. Why This Role Is Interesting • You will work on high-value data used across portfolio management, operations, accounting, reporting, and risk functions. • You will help modernize a complex investment data ecosystem using cloud technologies and engineering best practices. • You will solve meaningful technical problems involving scale, quality, integration, and operational reliability. • This is an opportunity to take on meaningful technical ownership, work across a complex investment ecosystem, and deepen your impact in a high-visibility engineering role. Salary Range- $120,000-$140,000 a year #LI-SP3 #LI-VX1 </div

Requirements

Must-haves

Data Product Solutions Engineer
Build Scalable Data Products for Investment Management
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.
Must-Have Skills
Strong hands-on engineering experience building scalable data applications and pipelines in enterprise environments
Proficiency in SQL and cloud data platforms, with experience in technologies such as Snowflake, AWS, and Informatica
Experience with investment management data, including securities, pricing, accounts, products, ABOR, or IBOR
Ability to translate business needs into technical designs and deliver reliable production solutions
12+ years of technology and data delivery experience, preferably in asset or wealth management
Proven ability to turn requirements into sol ution designs, implementation plans, and testable outcomes.
Strong communication, problem-solving, and collaboration skills, with the ability to work effectively across engineering, product, operations, and business teams.
Why This Role Is Interesting
You will work on high-value data used across portfolio management, operations, accounting, reporting, and risk functions.

Nice-to-haves

Familiarity with AI-assisted development tools for coding, testing, documentation, and design acceleration is a plus.

Application prep

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Keywords to mirror

awssqlai

Platform: careers-page
Effort: medium