Data Product Solutions Engineer

Veriipro; Boston (MA); In loco; USD 180.000 - 240.000; Tempo pieno

Descrizione del lavoro

Veriipro is seeking a Data Product Solutions Engineer to design and deliver data products supporting investment operations, accounting, reporting, and risk workflows. You will build scalable pipelines using Snowflake, AWS, and Informatica, translating business needs into production-ready solutions across enterprise systems.

The role emphasizes data modeling, lineage, data quality, observability, and collaboration with analysts, architects, product owners, and operations teams to ensure trusted,

Competenze

• 12+ years of technology and data delivery experience, preferably in asset or wealth management.
• Ability to translate business needs into technical designs and production-ready solutions.
• Experience building scalable data platforms in enterprise environments.

Mansioni

• Own design and delivery of data products and services for operations, accounting, reporting, and risk workflows.
• Develop scalable batch and near real-time data pipelines using cloud-native technologies.
• Translate business and data requirements into technical designs and implementation plans.
• Lead data modeling, lineage, metadata, mastering, and data quality practices.

Conoscenze

Data pipelines

SQL

Snowflake

AWS

Informatica

Investment data

ABOR/IBOR

Descrizione del lavoro

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.

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

Requirement

• 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.