C

Citi

Runs banking and payments for global clients

Lead Data Platform Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • At least 6 years of relevant experience in applications development or systems analysis, with extensive SQL Server expertise.
  • Proven extensive experience developing, maintaining, and optimizing very large databases in SQL Server 2019 or later.
  • Demonstrated ability to tune SQL Server performance, including query optimization, indexing strategies, and database performance enhancements.
  • Deep understanding and practical experience in advanced data modeling, data architecture, and data warehouse concepts and design, ensuring data integrity, scalability, security, and performance for very large databases.
  • Extensive experience with data loading and ETL development, primarily using Microsoft BI tools such as SSIS and SSAS, and ability to architect, design, and implement scalable ETL pipelines for large data volumes.
  • Strong experience in SQL code reviews, stored-procedure tuning, and applying DBA best practices within development teams.
  • Experience with NoSQL databases such as MongoDB or CouchDB.
  • Proven experience managing database security, including entitlement and permission models, and familiarity with encryption technologies such as Transparent Data Encryption.
  • Ability to use AI tools for SQL code refactoring, optimization, identifying code improvements, and enhancing quality and developer productivity in a SQL Server context.
  • Experience managing and implementing successful projects, with leadership and project management skills.
  • Bachelor’s degree or equivalent experience.

Responsibilities

  • Manage, develop, and optimize very large databases in SQL Server version 19 and above to ensure performance and reliability.
  • Lead SQL Server performance tuning, including query optimization, indexing strategies, and overall database performance.
  • Work with the dedicated DBA team to maintain best practices and operational excellence for very large database environments.
  • Oversee and guide data loading and ETL development, primarily using Microsoft BI tools, to establish efficient pipelines for large datasets; mentor ETL developers in best practices.
  • Apply advanced data modeling principles and drive data architecture decisions for data warehouses, ensuring data integrity, scalability, security, and optimal performance for very large databases.
  • Conduct code reviews for SQL, including stored procedures, to ensure quality, performance, and adherence to DBA best practices for large-scale operations.
  • Maintain and enhance database entitlement and permission models, including implementing database encryption such as Transparent Data Encryption.
  • Use AI tools to assist with SQL code refactoring, identify performance bottlenecks, recommend optimizations, and improve developer productivity.
  • Advise and coach mid-level developers and analysts, including allocating work.
  • Assess business-decision risks, ensure compliance with applicable laws, rules, regulations, and policy, apply ethical judgment, and escalate or manage control issues transparently.

Desired Qualifications

  • A master’s degree is preferred.
  • Python or PySpark skills for data processing and analytics.

About the Company

Citi

Runs banking and payments for global clients

Citi runs banking, investment and payment services for companies, governments and individuals around the world. Its global network connects institutions with local banking systems, while its US consumer business sells credit cards and deposit accounts. Corporate clients use Citi to manage cash, finance trade and raise capital, and investors use its trading, custody and wealth services to hold and manage assets. The bank earns interest on loans and fees from payments, securities transactions, financial advice and account services. Citi traces its banking roots to 1812; the Citigroup holding company was formed in 1998, and its headquarters are in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1812

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