Job DescriptionThe Impact You Will Have in This RoleAs 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, NumPy, scikit-learn) from a data enablement perspective.
- Leverage AI-assisted development tools (e.g., GitHub Copilot, CodeWhisperer, 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 OpenShift 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.
Talent Needed for Success - Strong, hands-on experience with Java/J2EE, including modern Java (17+) and Spring Boot.
- Strong proficiency in SQL, including performance tuning and optimization for both transactional and analytical workloads.
- Solid hands-on experience with Snowflake, supporting analytics, reporting, or data platform development.
- Strong experience building and consuming RESTful services and working in microservices-based architectures.
- Hands-on expertise with Oracle SQL and PL/SQL to support enterprise data systems.
- Experience working with BI/reporting tools such as Power BI or Tableau.
- Understanding of data warehousing, ETL concepts, and analytics workflows.
- Practical understanding of how databases and SQL enable analytics and AI use cases, including feature generation and inference access patterns.
- Strong debugging, problem-solving, and cross-team collaboration skills.
Nice to Have Skills - Experience with AWS or Azure cloud platforms.
- Hands-on exposure to Docker, Kubernetes, and OpenShift.
- Experience supporting Director-level and senior stakeholders.
- Exposure to AI-enabled analytics, forecasting, or anomaly detection solutions (enablement/support focus).
- Familiarity with LLM-enabled analytics tools (e.g., natural-language-to-SQL, intelligent dashboards) in governed, read-only environments.
The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations.
About the TeamServes as a dedicated technology resource for advancing DTCC's business opportunities and providing industry thought leadership for leveraging new technology. The goal of this new department is to partner internally with IT, our business and regulatory divisions and externally with clients, regulators, and fintech vendors, to help build new platforms and business models to advance DTCC's mission to support the financial markets.
