VP, Lead Data Engineer C13 (Hybrid)

The Lead Data Analytics analyst is responsible for building Data Engineering Solutions using next generation data techniques in on-premises and public cloud infrastructure. The individual should have knowledge of data engineering solutions, Kubernetes, public cloud platforms (AWS) and Snowflake. . The individual will be working directly with product owners, customers and technologists to deliver data products/solutions in a collaborative and agile environment.

Responsibilities:

• Responsible for design and development of big data solutions. Partner with domain experts, product managers, analyst, and data scientists to develop Big Data pipelines in Hadoop or Snowflake Responsible for delivering data as a service framework
• Responsible for moving all legacy workloads to cloud platform
• Ensure automation through CI/CD across platforms both in cloud and on-premises
• Ability to research and assess open-source technologies, public cloud tech stack (AWS/GCP) components to recommend and integrate into the design and implementation
• Be the technical expert and mentor other team members on Big Data and Cloud Tech stacks
• Define needs around maintainability, testability, performance, security, quality and usability for data platform
• Drive implementation, consistent patterns, reusable components, and coding standards for data engineering processes
• Tune Big data applications on Hadoop and non-Hadoop platforms for optimal performance
• Evaluate new IT developments and evolving business requirements and recommend appropriate systems alternatives and/or enhancements to current systems by analyzing business processes, systems and industry standards.
• Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinates and contributes to the objectives of the entire function.
• Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/taken.
• Supervise day-to-day staff management issues, including resource management, work allocation, mentoring/coaching and other duties and functions as assigned
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 6-10+ years of total IT experience
• 8+ years of experience with Hadoop (Cloudera)/big data technologies
• 5+ years of experience in public cloud infrastructure (AWS or GCP)
• Experience with Kubernetes and cloud-native technologies.
• Experience with all aspects of DevOps (source control, continuous integration, deployments, etc.)
• Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr)
• Experience on designing and developing Data Pipelines for Data Ingestion or Transformation using Java or Scala or Python
• Experience with Spark programming (pyspark or scala or java)
• Expert level building pipelines using Apache Spark Familiarity with core provider services from AWS, Azure or GCP, preferably having supported deployments on one or more of these platforms
• Hands-on experience with Python/Pyspark/Scala and basic libraries for machine learning is required.
• System level understanding - Data structures, algorithms, distributed storage & compute
• Can-do attitude on solving complex business problems, good interpersonal and teamwork skills

• Possess team management experience and have led a team of data engineers and analysts.
• Experience in Snowflake or Delta lake is a plus.
• Basic knowledge of Linux systems, operating system and networking internals

Education:

• Bachelor’s degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

The Data Analytics Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.

Responsibilities:

• Integrates subject matter and industry expertise within a defined area.
• Contributes to data analytics standards around which others will operate.
• Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function.
• Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.
• Resolves occasionally complex and highly variable issues.
• Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken.
• Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 6-10 years experience usisng codes for statistical modeling of large data sets

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology

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Job Family:

Data Analytics

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Time Type:

Full time

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Primary Location:

Irving Texas United States

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Primary Location Full Time Salary Range:

$125,760.00 - $188,640.00

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. Available offerings may vary by jurisdiction, job level, and date of hire.

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Anticipated Posting Close Date:

Apr 17, 2025

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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 .

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