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. As a financial institution that touches every region of the world and every sector that shapes your daily life, 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. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services

Citi’s Functions Technology is responsible for delivering Technology solutions to Citi's Functions organizations.  Functions Technology mission is to optimize Citi's Technology environment by delivering world class applications, driving standardization of the production environment, reducing complexity, optimizing management of systems supporting global functions such as Compliance, Controls, Internal Audit and Risk, and introducing innovative technologies that provide new business capabilities, reduce the technology total cost of ownership, and create a competitive advantage for Citi.

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 be a 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 w