Lead Data Platform Engineer

Citi

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Irving, TXJacksonville, FLTampa, FL
Salary
$125,760–$188,640 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k
This role $157k
$110k most similar roles pay here $225k

This role pays less than 58% of similar roles. Most pay $142,300–$209,093 — the shaded band above. At the midpoint, this role pays about $157k versus about $176k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 271 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 255 roles with salary data.

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At a glance

TL;DR · Lead Data Platform Engineer

Lead Data Platform Engineer The Lead Data Platform Engineer joins the technology team to build robust, scalable, and high-performance data solutions within the Microsoft SQL Server ecosystem. This role focuses on managing, developing, and optimizing Very Large Databases (VLDBs) using SQL Server version 2019 and above. The engineer will lead performance tuning efforts, including query optimization and indexing strategies, while overseeing ETL development and data loading processes using Microsoft BI tools like SSIS and SSAS. Responsibilities include designing data warehouse architectures, conducting code reviews for stored procedures, managing database security through Transparent Data Encryption (TDE), and mentoring junior developers. The role requires expertise in SQL, NoSQL databases such as MongoDB or CouchDB, and the use of AI tools for code refactoring. Optional skills include Python and PySpark for processing large datasets to ensure data integrity and scalability.

What you'll do

  • Manage, develop, and optimize high-performance solutions for Very Large Databases (VLDB) in SQL Server 2019+.
  • Lead performance tuning efforts including query optimization and advanced indexing strategies.
  • Oversee and guide robust data loading processes and ETL development using Microsoft BI tools.
  • Design data architecture and models to ensure integrity, scalability, and security for large datasets.
  • Conduct rigorous code reviews for SQL and stored procedures to ensure quality and DBA best practices.
  • Manage database security by maintaining entitlement models and implementing encryption methods like TDE.
  • Utilize AI tools to refactor SQL code and identify performance bottlenecks.
  • Mentor mid-level developers and analysts while managing work allocation and technical guidance.

What we're looking for

  • Bachelor's degree or equivalent experience required; Master's degree preferred.
  • 6+ years of relevant experience in Apps Development or systems analysis with extensive SQL Server expertise.
  • Proven experience developing, maintaining, and optimizing Very Large Databases (VLDBs) in SQL Server version 2019 and above.
  • Expert-level skills in performance tuning, including query optimization and advanced indexing strategies for SQL Server.
  • Deep understanding of data modeling principles, architecture, and warehouse design for high-performance VLDB environments.
  • Extensive experience with Microsoft BI tools (SSIS, SSAS) to architect and implement scalable ETL pipelines.
  • Experience managing database security, entitlement models, and encryption technologies like Transparent Data Encryption (TDE).
  • Ability to leverage AI tools for SQL code refactoring and optimization; Python/PySpark skills preferred.

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