Big Data Lead

Investor Services, a leading business line in the Citi Services and offers the full spectrum of capabilities to clients including Custody, Fund Accounting, Investment Accounting, Fund Administration, Middle Office Services, Performance and Risk Analytics, Transfer Agency and Securities lending across multiple jurisdictions.

Investor Services has embarked on significant business growth through digital transformation and technology investments. To meet the objectives of the business, Investor Services Technology is undergoing an exciting platform modernization journey focused on improving agility, scalability, and simplifying the architecture. Program Execution is underway since 2022, with transformational leaders dedicated to this multiyear program and moving to a new next generation architecture on a cloud native platform.

The Applications Development Technology Senior Data Lead Analyst is a senior level position responsible for establishing and implementing canonical data architecture and drive data governance in coordination with the Technology Team. The overall objective of this role is to lead data analysis and programming activities for suite of applications across Investor Services and also drive standardization and modernization of Data strategy and architecture across Services.

Responsibilities:

• Design & implement Spark, Hive, Scala pipelines using Medallion model
• Architect data integration across custody platforms
• Embed automation in metadata, data dictionary, data catalogues, and quality checks
• Ensure reliability, cost optimization, and data governance
• Mentor engineers and stay hands-on with architecture reviews
• Code Quality and Standards: Ensure application design adheres to the overall architecture blueprint. Develop and enforce standards for coding, testing, debugging, and implementation. Conduct code reviews to ensure code quality and compliance with standards.
• Collaboration and Communication: Collaborate with cross-functional teams, including architects, infrastructure engineers, and business analysts, to deliver integrated solutions. Consistently demonstrate clear and concise written and verbal communication.
• Mentoring and Coaching: Serve as an advisor or coach to mid-level developers and analysts, allocating work as necessary and providing guidance on technical best practices.
• Risk Management: Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets. Drive 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.
• DevOps Practices: Implement and promote DevOps practices, including continuous integration, continuous delivery, and automated testing.
• Containerization and Orchestration: Utilize Openshift for container orchestration, ensuring applications are scalable, resilient, and easily deployed.
• Version Control: Manage source code using GitHub, following established branching strategies and code review processes.

Skills:

• Big Data Engineering: Hive, Spark, Scala, Delta Lake, performance tuning
• Data Architecture: Medallion, Data Mesh, multi-zone Data Lake
• GenAI for Data: metadata, test data, code gen, lineage
• Cloud & DevOps: AWS/Azure, GitHub Actions, Airflow
• Data Governance: schema evolution, contracts, observability

Education:

• Bachelor's or Master's in CS, Data Engineering, or related field
• 12+ years in data engineering, 5+ in financial services (Custody preferred)

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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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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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