Senior Data Engineering Lead

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.

Citi’s Mission and Value Proposition explain what we do and Strategy explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve.

Investor Services, a leading business line in the Citi Services and offers the full spectrum of capabilities to clients including Custody, Fund Accounting, Investment Accounting, Fund Administration, Middle Office Services, Performance and Risk Analytics, Transfer Agency and Securities lending across multiple jurisdictions.

Investor Services has embarked on significant business growth through digital transformation and technology investments. To meet the objectives of the business, Investor Services Technology is undergoing an exciting platform modernization journey focused on improving agility, scalability, and simplifying the architecture. Program Execution is underway since 2022, with transformational leaders dedicated to this multiyear program and moving to a new next generation architecture on a cloud native platform.

The Senior Data Engineering Lead is a senior level position responsible for establishing and implementing new or revised Credit application systems and programs in coordination with the Technology Team. The overall objective of this role is to lead applications systems analysis and programming activities for Credit suite of applications across Investor Services and also drive standardization and modernization of Credit strategy and architecture across Services.

Responsibilities:

• Technical Leadership: Provide technical leadership and mentorship to a team of Data Engineers. Oversee the design, development, and optimization of scalable and robust big data solutions and pipelines.

• Big Data Engineering: Utilize extensive expertise in big data technologies such as Apache Spark (with Scala/Python), Apache Kafka, and distributed data processing frameworks. Design, develop, and implement highly performant and fault-tolerant ETL/ELT pipelines for large-scale data ingestion, processing, and transformation.

• System Analysis and Design: Partner with multiple management teams to ensure appropriate integration of functions to meet goals. Identify and define necessary system enhancements to deploy new products and process improvements. Conduct in-depth analysis of complex business processes and system processes to recommend innovative solutions.

• Project Management: Manage and implement successful projects, ensuring adherence to timelines, budget, and quality standards. Utilize project management methodologies (e.g., Scaled Agile Framework (SAFe) using JIRA) to drive project execution.

• Code Quality and Standards: Ensure application design adheres to the overall architecture blueprint. Develop and enforce standards for coding, testing, debugging, and implementation. Conduct code reviews to ensure code quality and compliance with standards.

• Collaboration and Communication: Collaborate with cross-functional teams, including architects, infrastructure engineers, and business analysts, to deliver integrated solutions. Consistently demonstrate clear and concise written and verbal communication.

• Mentoring and Coaching: Serve as an advisor or coach to mid-level developers and analysts, allocating work as necessary and providing guidance on technical best practices.

• Risk Management: Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets. Drive 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.

• DevOps Practices: Implement and promote DevOps practices, including continuous integration, continuous delivery, and automated te