Principal Data Engineer - Director

Citi, the leading global bank, 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. As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. Our Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. The Role We are looking for a hands-on Principal Data Engineer who is passionate about solving business problems through innovation and engineering practices. As a Principal Data Engineer, you will leverage your deep technical knowledge to drive the creation of high-quality software products. You will also be expected to mentor other engineers, share your technical expertise, and promote a culture of technical excellence within the team. The Principal Data Engineer will report to the Head of Engineering for AML Monitoring and will contribute to one of 40 engineering teams in the AML space. There is an expectation to contribute to the codebase and deliver solutions against the sprint-level commitments. Responsibilities Code contributing

member of multiple Agile teams, working to deliver sprint goals. Demonstrating

deep technical knowledge

and expertise in software development, including programming languages, frameworks, and best practices. Providing guidance and mentorship to junior team members. Actively contributes to the implementation of critical features and complex technical solutions. Write clean, efficient, and maintainable code that meets the

highest standards of quality. Collaborate with other Principal Engineers to define and evolve the overall system architecture and design. Provide guidance on scalable, robust, and efficient solutions that align with business requirements and industry best practices. Offer expert engineering guidance and support to multiple teams, helping them overcome technical challenges, make informed decisions, and deliver high-quality software solutions. Foster a

culture of technical excellence and continuous improvement. Stay up to date with emerging technologies, tools, and industry trends. Evaluate their potential impact on the organization and provide recommendations for technology adoption and innovation. Required Qualifications 10+ years’ experience of implementing data-intensive solutions using agile methodologies. Proficient in one or more programming languages commonly used in data engineering such as

Python, Java, or Scala. Multiple years of experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.) Strong proficiency in working with relational databases and using SQL for data querying, transformation, and manipulation. Clear understanding of Data Structures and Object Oriented Principles. Experience of modeling data for analytical consumers. Ability to automate and streamline the build, test and deployment of data pipelines. Experience with

Hadoop

for data storage and processing is valuable, as is exposure to modern data platforms such as

Snowflake

and

Databricks . Multiple years of experience architecting and building horizontally scalable, highly available, highly resilient, and low latency applications. Multiple years of experience with

Cloud-native development

and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.). Proven experience of providing technical vision and guidance to a data team. Thrives in a dynamic environment, capable of managing multiple tasks simultaneously while maintaining a high standard of work. Preferred Qualifications Familiarity with open-source data engineering tools and frameworks (e.g.

Spark, Kafka,

Beam, Flink, Trino, Airflow, DBT) is a valuable asset. Exposure to a range of table and file formats including Iceberg,

Hive , Avro, Parquet and JSON. Experience in cloud native technologies and patterns ( AWS , Google Cloud). Exposure to Infrastructure as Code tools (i.e., Terraform, Cloudformation, etc.). Experience of driving and/or influencing the data strategy of your team or organization. Education BA/BS degree or equivalent work experience. Job Family Group:

Technology Job Family:

Digital Software Engineering Time Type:

Full time Primary Location:

Tampa Florida United States Primary Location Full Time Salary Range:

$170,000.00 - $300,000.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Anticipated Posting Close Date:

Jan 27, 2025 Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review

Accessibility at Citi

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