Big Data Lead - Vice President - Irving, TX

Citigroup Inc.; Tampa (FL); On-site; USD 113,000 - 171,000; Full time

Job summary

A global financial services company is seeking a Big Data Senior Manager in Tampa, Florida. This role involves leading data engineering teams, managing complex data processing pipelines using Apache Spark and Scala, and ensuring integration of technology functions. Ideal candidates should have over 6 years of experience in big data development and strong proficiency in relevant technologies. Competitive salary range is offered, along with comprehensive employee benefits.

Benefits

Medical, dental & vision coverage

401(k)

Paid time off packages

Qualifications

• 6 to 10+ years of hands-on experience in big data development.
• High proficiency in Scala-based functional programming.
• Strong understanding of data modeling principles and ETL processes.

Responsibilities

• Lead applications systems analysis and programming activities.
• Ensure appropriate integration of functions to meet goals.
• Provide expertise in area and advanced knowledge of applications programming.

Skills

Big data development

Apache Spark

Scala

Data Engineering

Problem-solving

Tools

Hadoop

Airflow

Git

Jenkins

Job description

The Big Data Sr manager is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

At least two years (Over all 10+ hands on Data Engineering experience) of experience building and leading highly complex, technical data engineering teams. Lead data engineering team, from sourcing to closing. Drive strategic vision for the team and product

Responsibilities

• Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
• Experience managing a data focused product, ML platform
• Hands on experience relevant to designing, developing, and optimizing scalable distributed data processing pipelines using Apache Spark and Scala
• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
• Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
• Experience managing, hiring and coaching software engineering teams
• Experience with large-scale distributed web services and the processes around testing, monitoring, and SLAs to ensure high product quality
• Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
• Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary

Required Skills

• Experience: 6 to 10+ years of hands-on experience in big data development, focusing on Apache Spark, Scala, and distributed systems
• Proficiency in Functional Programming: High proficiency in Scala-based functional programming for developing robust and efficient data processing pipelines
• Proficiency in Big Data Technologies: Strong experience with Apache Spark, Hadoop ecosystem tools such as Hive, HDFS, and YARN. AIRFLOW, DataOps, Data Management
• Programming and Scripting: Advanced knowledge of Scala and a good understanding of Python for data engineering tasks
• Data Modeling and ETL Processes: Solid understanding of data modeling principles and ETL processes in big data environments
• Analytical and Problem-Solving Skills: Strong ability to analyze and solve performance issues in Spark jobs and distributed systems
• Version Control and CI/CD: Familiarity with Git, Jenkins, and other CI/CD tools for automating the deployment of big data applications
• Experience with Python

Desirable Experience

• Real-Time Data Streaming: Experience with streaming platforms such as Apache Kafka or Spark Streaming
• Python Data Engineering Experience
• Financial Services Context: Familiarity with financial data processing, ensuring scalability, security, and compliance requirements
• Leadership in Data Engineering: Proven ability to work collaboratively with teams to develop robust data pipelines and architectures

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Job Family Group: Technology

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Job Family: Applications Development

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Time Type: Full time

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Primary Location: Tampa Florida United States

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Primary Location Full Time Salary Range: $113,840.00 - $170,760.00

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

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date: Aug 04, 2025

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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