Senior Data Engineering Lead

• 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
• 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
• 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
• 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
• 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
• Collaborate with cross-functional teams, including architects, infrastructure engineers, and business analysts, to deliver integrated solutions
• Serve as an advisor or coach to mid-level developers and analysts, allocating work as necessary and providing guidance on technical best practices
• 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
• Implement and promote DevOps practices, including continuous integration, continuous delivery, and automated testing
• Utilize Openshift for container orchestration
• Manage source code using GitHub

• 10+ years of progressive technology experience in banking or financial services
• 5+ years of hands-on delivery leadership across enterprise-grade platforms
• Proven success managing large-scale, cross-functional Agile delivery in regulated environments
• Solid academic foundation in Computer Science or Engineering
• Strong hands-on experience in solutioning and delivering modern architectures, including microservices, cloud-native APIs, and secure data pipelines
• Deep working knowledge of Agile/SAFe delivery frameworks, sprint planning, PI planning, and DevSecOps automation (CI/CD, GitOps, release pipelines)
• Practical exposure to Generative AI and LLM-based tools
• Experience leading production-grade implementations on hybrid/multi-cloud platforms, including failover, monitoring, and resiliency engineering
• Effective communicator and influencer across business, engineering, and architecture
• Bachelor’s degree/University degree or equivalent experience

Certifications in Agile/SAFe, Cloud, or GenAI/ML frameworks are a strong plus

• Medical, dental & vision coverage
• 401(k)
• Life, accident, and disability insurance
• Wellness programs
• Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
• Discretionary and formulaic incentive and retention awards