Senior Snowflake​/Data Platform Engineer

Position: Senior Snowflake / Data Platform Engineer
Are you ready to make an impact at DTCC?

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.

Pay and Benefits:

* Competitive compensation, including base pay and annual incentive

* Comprehensive health and life insurance and well-being benefits, based on location

* Pension / Retirement benefits

* Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

* DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The Impact You Will Have in This Role

As a Senior Backend & Data Platform Engineer, you will play a critical role in designing, building, and optimizing scalable, data‑driven backend systems that power high‑impact business applications across the firm. You will be a key contributor within the Development organization responsible for creating, deploying, and supporting enterprise‑grade software solutions used across internal platforms and external‑facing products.

In this role, you will work hands‑on across Java backend development, SQL‑driven data platforms, Snowflake analytics, and modern AI‑enabled development tools. You will collaborate closely with application engineering, data, analytics, and architecture teams to deliver secure, high‑performance, and cloud‑ready solutions. Your work will enable reliable analytics, reporting, and AI‑assisted insights through well‑designed data structures, optimized SQL workloads, and thoughtfully integrated backend services.

Your

Primary Responsibilities:

* Design, develop, and support backend applications using Java (17+) and Spring Boot, delivering scalable, high‑quality services.

* Develop, maintain, and optimize SQL‑based data solutions across Oracle and Snowflake environments to support application functionality, analytics, and reporting.

* Design and optimize Snowflake‑based data models and SQL workloads used for analytics, reporting, and emerging AI‑enabled use cases.

* Build, tune, and maintain complex SQL and PL/SQL objects, including tables, views, packages, procedures, and triggers.

* Design and consume RESTful APIs within a microservices‑based and distributed systems architecture.

* Partner with analytics and business teams to support reporting and BI solutions using Snowflake, Power BI, and/or Tableau.

* Enable analytics and AI workflows by preparing curated, high‑quality datasets and performant SQL access patterns.

* Support analytics pipelines consumed by Python‑based tools (e.g., pandas, Num Py, scikit‑learn) from a data enablement perspective.

* Leverage AI‑assisted development tools (e.g., Git Hub Copilot, Code Whisperer, similar) to improve development efficiency and code quality across Java and SQL.

* Apply automated testing, static analysis, and code quality tooling within CI/CD pipelines to ensure reliability and maintainability.

* Implement data validation, quality checks, and anomaly detection logic to ensure trusted analytics and insights.
* (Preferred) Support containerized applications using Docker, Kubernetes, and Open Shift in cloud environments.

Qualifications

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

* 6-8+ years of experience in backend engineering, data platforms, or SQL‑heavy application development roles.

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