Big Data Lead (Data Domain Lead) – SVP – New York (Hybrid)

We are seeking a highly skilled and experienced Big Data Lead to join our team in order to deliver on major business priorities within the Client Financial Platform.  As a Big Data Lead, you will play a critical role in designing, developing, and maintaining our big data applications and pipelines. You will lead a team of talented engineers, providing technical guidance and mentorship while ensuring the successful delivery of high-quality solutions. This role requires a deep understanding of big data technologies, strong leadership skills, and a passion for data-driven decision-making.

Responsibilities:

• Leadership and Mentorship: Lead and mentor a team of big data engineers, fostering a collaborative and high-performing environment. Provide technical guidance, code reviews, and support for professional development.
• Architecture and Design: Design and implement scalable and robust big data architectures and pipelines to handle large volumes of data from various sources.
• Technology Selection and Implementation: Evaluate and select appropriate big data technologies and tools based on project requirements and industry best practices. Implement and integrate these technologies into our existing infrastructure.
• Data Processing and Analysis: Develop and optimize data processing and analysis workflows using technologies such as Spark, Hadoop, Hive, and other relevant tools.
• Data Quality and Governance: Implement data quality checks and ensure adherence to data governance policies and procedures.
• Performance Tuning and Optimization: Continuously monitor and optimize the performance of big data systems and pipelines to ensure efficient data processing and retrieval.
• Collaboration and Communication: Collaborate effectively with cross-functional teams, including data scientists, business analysts, and product managers, to understand their data needs and deliver impactful solutions.
• Research and Development: Stay up-to-date with the latest advancements in big data technologies and explore new tools and techniques to improve our data infrastructure.

Qualifications:

• Proven experience in leading and mentoring big data engineering teams.
• Strong understanding of big data concepts, architectures, and technologies (e.g., Hadoop, Spark, Hive, Kafka, NoSQL databases).
• Proficiency in programming languages such as Java, Scala, or Python.
• Excellent problem-solving and analytical skills.
• Strong presentation, communication and interpersonal skills.
• Experience with data warehousing and business intelligence tools.
• Experience with data visualization and reporting.
• Knowledge of cloud-based big data platforms (e.g., AWS EMR, Azure HDInsight, Google Cloud Dataproc).
• Certifications in relevant big data technologies.

Experience:

• 8+ years of experience

Education: 

• Bachelor's or Master's in Computer Science or related field

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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:

New York New York United States

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Primary Location Full Time Salary Range:

$176,720.00 - $265,080.00

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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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:

Oct 15, 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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