Citi Group Senior Data Architect/Engineer - C13 JERSEY CITY 

United States, New Jersey, Jersey City 

942143729

About Citi

The Data and Reporting team develops and supports a platform that provides client reporting and feeds other downstream applications within Citi. It provides reporting such as real-time trades, positions, initial and variation margin, positions and balances for external clients and internal users. A major ongoing initiative is to modernize the existing platform and to build out a scalable data and reporting architecture in order to provide scale and to enhance product offerings and new business requirements.

Our Technology supports a rapidly growing business that uses technological innovation to maintain competitive advantage in a constantly evolving market. Working closely with the business, external vendors and internal technology teams, you would manage complex projects that will involve everything from incorporating a new functionality within the existing ecosystem, to analysing new requirements, documenting solutions, managing implementation and testing systems, ensuring that they are fit for purpose.

Roles and Responsibilities

• Work on data architecture design and principles, data integrity, reference data, data model version, and metadata standards for a data platform
• Collaborate with Data Product Dev, 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. Led project plans with cross program interdependencies for end-to-end implementation
• Develop scalable and resilient data pipelines with real-time and batch processes into data warehouse
• Support reporting application and downstream changes and testing

Qualifications:

• 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, enabling effective collaboration with cross-functional teams, stakeholders, and management
• Proven ability to effectively use complex analytical, interpretive and problem-solving techniques and execute plan
• 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
• Excellent verbal and written communication skills, enabling effective collaboration with cross-functional teams, stakeholders, and management
• Experience data science/machine learning in a plus
• Innovative mindset and can-do attitude to work under pressure
• Experience working in financial services
• Experience in data pipeline and integration using Java, Pythons, Airflow, and performance tuning
• Experience in AI/ML

Education:

• Bachelor’s degree/University degree or equivalent experience in computer science/statistics/data engineering/data science

Anticipated Posting Close Date: