Big Data Program Lead

• provides architectural vision, ensuring architecture conforms to enterprise blueprints
• develops architecture, strategy, planning, and problem solving solutions on an enterprise level
• interfaces across several channels, acting as a visionary to proactively assist in defining direction for future projects
• maintains continuous awareness of business, technical, and infrastructure issues and acts as a sounding board or consultant to aid in the development of creative solutions
• experience with developing metadata driven frameworks for data processing/transformation and built real-time processing solutions
• hands-on data engineer with core skillset on Big Data stack of technologies including but not limited to, Spark with Scala, Hive, Impala, Kafka, Solace, Iceberg format tables etc.
• position requires excellent communication skills to drive the change required and ability to translate the vision into technical artifacts
• identify and apply optimization techniques to improve performance of existing applications
• provides thought leadership in subjects that are key to the business
• provides senior-level technical consulting and mentoring during design and development for highly complex and critical data projects
• effectively collaborates with other members of the team, vendors and business stakeholders to align work efforts, develop and execute strategic and tactical plans that enable successful upgrade
• knowledge of technology solutions in one or more of the functional areas is preferable– Banking or Trading Book products
• data modeling experience in a financial services environment, preferably Enterprise Data warehouse Model based on Banking Model
• understand the underlying technologies and applications utilized with the specified area of responsibility and stay abreast of industry leading practices to direct how to design, develop, test and implement priority technology requirement
• provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
• impacts the technology function through contribution to technical direction and strategic decisions
• accountable for end-to-end results including such items as: budgeting, policy formulation as well as providing future state technology strategies for an effort
• uses developed communication skills to negotiate and often at higher levels
• performs other job duties and functions as assigned
• 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

• 10+ years relevant experience on building data engineering solutions for large scale Operational 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
• must Technical Skills - Java/Scala, Hadoop, Python, Hive, Impala, Kafka and Elastic
• Apache Iceberg
• Databases: Oracle
• Netezza
• must 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
• knowledge on Ab Initio suite of products is preferable
• 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

knowledge on Ab Initio suite of products is preferable