A highly experienced and technically adept Senior Integration Engineer to join our Wealth Lending platforms team. This role demands a blend of strategic thinking, technical leadership, and hands-on development expertise. The ideal candidate will not only own the data & integration strategy but also actively contribute to the design, development, and implementation of robust and scalable integration solutions
Key Responsibilities:
- Owning overall data integration strategy, design, development, & delivery across Wealth lending platforms.
- Providing technical leadership to integration developers, and actively contributing to the design, development, and implementation of integration pipelines.
- Design & Develop integration patterns, including batch, real-time and event-based integrations with robust error handling, monitoring & replay mechanisms.
- Design, Build, & Manage data access integration layer, ensuring consistent data extracts & schema management.
- Perform & oversee source system data profiling, data discovery and data quality assessments, identifying gaps and driving remediation strategies.
- Define, Implement and validating complex transformation, standardization, and mapping rules for data integration.
- Champion and utilize AI assisted development tools and authentication frameworks to improve developer productivity, code quality, testing & documentation across the engineering team.
- Provide technical leadership and delivery ownership, guiding the team on architecture decisions, best practices, and ensuring high quality delivery of features and platform enhancements.
- Identify problems, analyze information, and make evaluative judgments to recommend and implement solutions.
- Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents.
- Has the ability to operate with a limited level of direct supervision.
- Apply fundamental knowledge of programming languages for design specifications and active development.
- Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Recommended Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- 10+ years of progressive experience in data integration, data engineering, or a similar role, with at least 4 years in a technical leadership or senior capacity.
- Demonstrable experience within the financial services or banking industry, specifically with wealth management or lending platforms.
- Certifications in relevant data integration technologies, cloud platforms (e.g., AWS, Azure, GCP), or data governance are a plus.
Skills Required:
Foundational, must have technical skills for the role.
- Data Integration solutions: Extensive hands-on experience with the end-to-end design, development, and deployment of complex data integration solutions covering data transformation, standardization, and mapping rules. (incl. batch, real-time, and event-based architectures).
- SQL and Databases: Strong, hands-on proficiency with RDBMS (SQL, PL/SQL) is essential. Knowledge on HIVE/ HBase is also required.
- Big Data Technologies: Hands-on experience with distributed data processing frameworks, particularly Apache Spark.
- Data-Related Programming: Proven development experience with relevant programming languages such as Python, Java, or Scala for creating and implementing design specifications.
- CI/CD & DevOps: Familiarity with Continuous Integration and Continuous Delivery (CI/CD) environments and tools like Tekton, Harness, and Jenkins.
- AI-Assisted Development: Practical experience using AI-assisted tools to improve productivity, code quality, and testing.
Additionally, good to have skills:
- Data Quality (DQ) solutions/frameworks: Demonstrable experience in building DQ controls, conducting data quality assessments, and implementing remediation strategies.
- Error Handling and Monitoring: Deep understanding of implementing robust error handling, monitoring, logging, and replay mechanisms within data pipelines.
- Messaging Systems: Hands-on knowledge of messaging platforms like IBM MQ, Kafka, or Solace.
- API Management: Experience with designing and managing data access integration layers and API solutions.
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Job Family Group:
Technology
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Job Family:
Applications Development
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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