Data Product Solutions Engineer

Data Product Solutions Engineer

Boston, MA

Full Time

Responsibility :

• 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.