Citi Group Data Engineering Group Manager 

United States, New Jersey, Jersey City 

721426059

One of the key functions within Services is Core Banking Technology. This group is responsible for technology that drives Core Banking capabilities for our clients. Core Accounts Technology is currently undergoing a multi-year large scale transformation tackling eCommerce-scale growth programs as well as retirement of the legacy infrastructure, building out of a next generation best in class set of capabilities that will evolve as our Client, Market and Regulatory needs evolve across the globe.

Job Description

Data Engineering Group Manager for Core Accounts will be responsible for modernizing and optimizing data distribution flows and integration with Data Lakes, Finance systems, Data Warehouses, and other consumers ofDemand Deposit Accounts

Responsibilities:

• The position will be responsible for re-engineering the interaction of incoming and outgoing data flows from the Core Accounts DDA platform to Reference Data platforms, Data Warehouse, Data Lake as well as other local reporting systems which consume data from Core Accounts

• Drive the data architecture and roadmap for eliminating non-strategic point to point connections and batch handoffs

• Define canonical data models for key entities and events related to Customer, Account, Core DDA in line with the Data Standards

• Assess opportunities tosimplify/rationalize/refactorthe existing database schemas paving way for modularization of the existing stack

• Rationalize 100+ handoffs from DDA applications running on Abinitio and Talend in 70+ countries and define common Taxonomy

• Design an Operational Data Store for intra-day and end-of-day reporting. Implementing data strategies and developing logical and physical data models.

• Design self-service reporting capabilities for Operations, using latest tools and technologies

• Formulate efficient approach to rationalize and migrate thousands of reports to new infrastructure

• Build and nurture a strong engineering organization to deliver value to internal and external clients

Qualifications

• Significant experience in Data modeling, Data lineage analysis, Operational reporting, preferably in a global organization

• Proven architecture experience in building horizontally scalable, highly available, highly resilient data distribution platforms

• Proficient in message queuing, stream processing, and highly scalable ‘big data’ data stores.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Strong analytic skills related to working with unstructured datasets.

• Extensive experience with Data Integration patterns.

• Extensive experience with Real/Near Real time streaming patterns.

• PreferredExperience/Familiaritywith one or more of these tools

  • Big data platforms - Hadoop, Apache Kafka

  • Relational SQL,NoSQL, and Cloud Native databases - Postgres, Cassandra, Snowflake

  • Experience with data pipeline and orchestration tools - Azkaban, Luigi, or Airflow

  • Experience with AWS cloud services - EMR, RDS, Redshift

  • Experience with stream-processing engines - Apache Spark, Apache Storm, or Apache Flink

  • Experience with ETL tools - Talend, Ab Initio

  • Experience with DataAnalytics/visualizationtools - Looker, Mode, or Tableau

• 12+ years relevant industry experience, 7+ years of data modeling experience

Education

• Bachelor’s degree/University degree or equivalent experience

• Master’s degree preferred

Anticipated Posting Close Date:

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