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Enterprise Excellence Lead

4 weeks ago

Tampa, Florida, United States Citigroup Inc Full time
Job Summary

Citigroup Inc. is seeking a highly skilled Data Architecture Strategist to join our team. As a key member of our Enterprise Excellence group, you will be responsible for designing and implementing large-scale data-driven architectures in complex environments.

Key Responsibilities:

  • Design and architect end-to-end solutions that integrate Big Data, AI/ML, and GenAI technologies with a focus on scalability, reliability, and performance.
  • Lead the integration of Big Data platforms (e.g., Hadoop, Spark, Kafka) with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
  • Design infrastructure solutions for data ingestion, processing, storage, and analytics that support large-scale workloads.
  • Implement best DevOps practices, including CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline development and deployment processes.
  • Develop and implement architectural guidelines, standards, and best practices for AI/ML model deployment, data pipelines, and infrastructure.
  • Support the CDO requirements off EE, CDGP compliance and other related initiatives.
  • Lead the exploration of emerging technologies and their potential impact on the company's technology stack and business strategies.

Requirements:

  • 10+ years of industry experience in systems architecture with a Data processing, Big Data, AI/ML, & DevOps focus.
  • Experienced in designing large-scale, data-driven architectures in complex environments.
  • Experience with various cloud platforms and architectures like single/multitenant etc.
  • Expertise in Big Data technologies (e.g., Hadoop, Spark, Kafka, HBase) and platform.
  • Proficiency in AI/ML frameworks (e.g., TensorFlow, Scikit-Learn) & experience with GenAI tech.
  • Strong, working knowledge of DevOps tools (e.g., Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices.
  • Understanding of software development practices, microservices architecture, & API design.
  • Experience with data storage solutions (e.g., NoSQL, SQL, data lakes) and pipeline orchestration.
  • Excellent analytical and problem-solving skills with the ability to analyze and troubleshoot technical issues and provide innovative solutions.
  • Strong communication, collaboration, and mentorship skills- with the ability to articulate technical concepts to non-technical stakeholders.

Education:

  • Bachelor's degree (or equivalent) in computer science, IT, engineering, or related discipline. Master's degree preferred. Relevant Certifications are a plus.

Citigroup Inc. is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.