Big Data Tech Delivery Lead - Senior Vice President

Citi • Tampa, FL

3d

About The Position

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 area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, 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 Expert with big data / Spark technology 10+ years relevant experience on 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 finance sector is preferable 8+ years of relevant experience in Application Development for Enterprise Knowledge on Big Data/Spark suite of products is preferable Technical Skills - Java/J2EE, Hadoop, Spark, Hive, Impala, Kafka and Elastic along with focus on data analysis/analytics. Core Skills - 10+ years experience in handling Large Teams: IT Projects Design and Development; Enterprise Architecture; Data & Database Architecture; Project Management; Software Development Life Cycle: Risk Management; On/Off Shore large teams management; Ability to develop working relationships Ability to manage multiple activities and changing priorities Ability to work under pressure and to meet tight deadlines Self-starter with ability to take the initiative and master new tasks quickly Methodical, attention to detail Bachelor's degree/University degree or equivalent experience Master's degree preferred

Requirements

• Expert with big data / Spark technology
• 10+ years relevant experience on 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 finance sector is preferable
• 8+ years of relevant experience in Application Development for Enterprise Knowledge on Big Data/Spark suite of products is preferable
• Technical Skills - Java/J2EE, Hadoop, Spark, Hive, Impala, Kafka and Elastic along with focus on data analysis/analytics.
• Core Skills - 10+ years experience in handling Large Teams: IT Projects Design and Development; Enterprise Architecture; Data & Database Architecture; Project Management; Software Development Life Cycle: Risk Management; On/Off Shore large teams management; Ability to develop working relationships
• Ability to manage multiple activities and changing priorities
• Ability to work under pressure and to meet tight deadlines
• Self-starter with ability to take the initiative and master new tasks quickly
• Methodical, attention to detail
• Bachelor's degree/University degree or equivalent experience

Nice To Haves

• Master's degree preferred

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 area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees