Data Engineering Lead Analyst, Citi

Citi

Location:
United States, Jersey City

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

142320.00 - 213480.00 USD / Year

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Job Description:

The Applications Development Technology Lead Analyst 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. The Funds team in services organization develops and supports a platform that provides client reporting and feeds other downstream applications within Citi.

Job Responsibility:

Work on data principles, data integrity, reference data, data model version, and metadata standards for a data platform
Collaborate with Product, business and development to address data issues and data feed changes
Collaborate with architecture and business users to review architecture design, evaluate technology tools, and technical solutions to influence business decisions
Lead to execute data management strategy, define data quality measures, develop automated data validation control process using programing languages and tools, and dashboard monitoring process with automated alerts
Identify critical data elements, create data catalog and data lineage for reporting and downstream data feeds
Evaluate and review overall data flow adhering with data architecture standards, review with stakeholders, and enhance data governance oversight with change management process
Assess complex data flows, and identify opportunities to simplify end-to-end data process
Perform data and business process analysis to identify data issues and root causes, and implement resolutions
Collaborate with Support to troubleshoot urgent production data issues and implement fixes
Contribute design and development of technical and business solutions for data and reporting
Engage with a global engineering teams and business partners to create business and functional requirements and solutions
Collaborate with senior global development teams, cross functional teams, business and technology Stakeholders, and QA team to develop, track and report
Develop scalable and resilient data pipelines with real-time and batch processes into data warehouse
Support reporting application and downstream changes and testing

Requirements:

10+ years of relevant experience in Apps Development and design
Expertise in scalable data and event-driven enterprise architecture design, data management and data strategy
Strong experience in leading the implementation of enterprise data architecture and data engineering utilizing best engineering practices
Strong experience in design data management solutions and implementing including data control, data lineage, data catalogue, and security access
Deep expertise in modern data engineering and data integration architecture and technology
Excellent verbal and written communication skills
Proven ability to effectively use complex analytical, interpretive and problem-solving techniques
Passion and commitment for process and design simplification
Hands-on experience in data pipelines for batch and events-driven data process
Hands-on development experience with traditional and modern data systems (relational/non-relational databases, cloud/big data platform, ETL/ELT, data catalogue and data quality/control tools) and data mesh technology
Experience in data modeling for a large data warehouse, operational and analytical data stores
Experience working in financial services
Experience in data pipeline and integration using Java, Python, Airflow, ETL tools like Abinitio, Dataiku, DataStage etc. and able to perform performance tuning
Bachelor's degree/University degree or equivalent experience

Nice to have:

Experience data science/machine learning
Experience in AI/ML
Machine Learning frameworks like Weka, Deeplearning4j, or TensorFlow Java API
Deep Learning architectures like CNNs, RNNs, or Transformers
Natural Language Processing (NLP) techniques and libraries like Stanford CoreNLP or OpenNLP
Master's degree preferred

What we offer:

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages including vacation, sick leave, and paid holidays
Discretionary and formulaic incentive and retention awards

Additional Information:

Job Posted:
September 24, 2025

Expiration:
October 10, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Engineering Lead Analyst