Big Data Tech Delivery Lead - Senior Vice President
Listed on 2026-01-16
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IT/Tech
Data Engineer, Data Analyst
The Big Data Tech Delivery Lead is a senior level position responsible for establishing and implementing new or revised 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.
Responsibilities- Design and implement robust data pipelines and systems for data ingestion, processing, and storage.
- Develop, test, and maintain big data solutions using Java and related frameworks (e.g., Hadoop, Spark, Kafka).
- Create and optimize algorithms and data processing logic to extract insights from large datasets.
- Work with large datasets, ensuring data quality, integrity, and security within big data ecosystems.
- Provide expertise in advanced knowledge of applications programming and plan assignments involving large budgets, cross‑functional projects, or multiple projects.
- Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation.
- Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals.
- Research and evaluate new big data technologies and AI/ML advancements to enhance system capabilities and performance.
- Influence and negotiate with senior leaders and communicate with external parties.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citi, 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.
- Expert with big data / Spark technology.
- 10+ years relevant experience building data engineering solutions for large‑scale reporting and data warehouse implementations.
- Consistently demonstrates clear and concise written and verbal communication.
- Management and prioritization skills.
- 8+ years experience in building enterprise data warehouse systems in the finance sector is preferable.
- 8+ years of relevant experience in Application Development for Enterprise.
- Knowledge of Big Data/Spark suite of products is preferable.
- Technical skills:
Java/J2EE, Hadoop, Spark, Hive, Impala, Kafka and Elastic, with a focus on data analysis/analytics. - Core skills:
Leadership experience managing large teams, enterprise architecture, data & database architecture, project management, software development life cycle, risk management, on/off shore large team management. - Ability to develop working relationships.
- Ability to manage multiple activities and changing priorities.
- Ability to work under pressure and meet tight deadlines.
- Self‑starter with initiative and quick learning.
- Methodical, attention to detail.
- Bachelor’s degree (or equivalent experience).
- Master’s degree preferred.
Anticipated Posting Close Date:
Jan 19, 2026.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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