Senior Data Platform Engineer Assistant Vice President

Role Overview

We are seeking a highly skilled and motivated Senior Data Platform Engineer, AVP (Python/PySpark, Big Data, ETL & Database Developer) to design, build, and maintain robust, scalable, and high-performance data solutions. The role is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team.

What You Will Do

Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas. Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users.

Why It Might Be a Fit

Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and/or other team members. Appropriately assess risk when business decisions are made, demonstrating particular 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.

Requirements

• 5+ years of relevant experience as a data engineer
• Data Pipelining & ETL: Expertise in designing and implementing scalable data pipelines using Python/Pyspark, with experience in ETL tools (e.g., Microsoft BI/SSIS, IBM DataStage etc.).
• Database Management: Advanced proficiency (3+ years) in RDBMS (T-SQL/PL/SQL) and NoSQL (e.g., MongoDB).
• Big Data Platforms: Extensive experience (3+ years) with Hadoop ecosystem technologies (e.g., HDFS, Hive, Pig, Sqoop), preferably Cloudera.
• Data Architecture & Modeling: Solid understanding of data warehousing, dimensional modeling, and 3NF to ensure scalable and performant data solutions.
• DevOps & Automation: Ability to implement CI/CD pipelines, use Git for version control, and leverage Docker/Kubernetes for containerization.
• Code Quality & Standards: Experience contributing to enforcing good coding standards and participating in code reviews to maintain high-quality codebases.
• Framework Contribution: Skill in contributing to the enhancement of existing data frameworks and evaluating new technologies for adoption.
• Job Orchestration: Proficiency in managing data workflows with enterprise scheduling tools (e.g., Autosys).
• Data Connectivity & Visualization: Experience with secure data connectivity tools (e.g., Connect Direct, SSH Tectia) and data visualization platforms (e.g., Tableau).
• AI-Driven Development: Capability to utilize AI tools (e.g., Devin) for efficient code refactoring and optimization.
• Experience in systems analysis and programming of software applications
• Experience in managing and implementing successful projects
• Working knowledge of consulting/project management techniques/methods
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
• Bachelor’s degree/University degree or equivalent experience

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages
• paid holidays