Senior Data Architect/Engineer - C13 - JERSEY CITY in Jersey City, NJ
Job title: Senior Data Architect/Engineer - C13 - JERSEY CITY in Jersey City, NJ at Citigroup
Company: Citigroup
Job description: About CitiCiti, the leading global financial services company, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.Citi’s Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviours that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities.Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop are widely available to all.About Team and PlatformThe 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
- 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
- Bachelor’s degree/University degree or equivalent experience in computer science/statistics/data engineering/data science