Senior Data Engineer — Vice President

CitiMississauga, ON
CA$120,800 - CA$170,800Hybrid

About The Position

Citi is looking for a Senior Data Engineer at Vice President level to design and lead high-performance data warehouse solutions that power critical business decisions across a global financial institution. In this role, you will serve as a technical authority within the engineering team, driving the architecture, development, and optimization of enterprise-scale database systems built on SQL Server. Your work will directly shape the reliability and performance of data infrastructure relied upon by technology and business teams across Citi.

Requirements

  • 6+ years of experience in application development, systems analysis, or a closely related data engineering discipline.
  • Deep expertise in SQL Server database development, including stored procedures, triggers, user-defined functions, and query optimization.
  • Demonstrated ability to design and implement ETL processes that integrate data from diverse sources into a data warehouse environment.
  • Proven capability in data modeling, encompassing both logical and physical design to meet complex business requirements.
  • Track record of delivering and managing successful technology projects from requirement definition through to production deployment.
  • Subject matter expertise in at least one area of application or database development, with the ability to apply that knowledge to solve high-impact technical problems.
  • Clear and effective written and verbal communication skills, with the ability to engage both technical and non-technical stakeholders.

Nice To Haves

  • A Master's degree in Computer Science, Information Systems, or a related field is advantageous.
  • Experience working within large-scale enterprise data warehouse platforms, particularly in financial services or similarly regulated environments.
  • Familiarity with data integrity frameworks, including constraint design, validation rules, and governance best practices.
  • Exposure to architecture and infrastructure concepts that inform how data systems integrate within broader enterprise technology ecosystems.

Responsibilities

  • Design, develop, and maintain high-performance, scalable database solutions using SQL Server, ensuring the data warehouse platform meets evolving business requirements.
  • Build and optimize complex stored procedures, triggers, and user-defined functions that underpin core business applications and reporting workflows.
  • Tune database performance by identifying and resolving bottlenecks, monitoring system behavior, and implementing targeted improvements to support production-grade workloads.
  • Develop and maintain ETL pipelines to extract, load, and transform data from multiple source systems into the data warehouse, ensuring accuracy and reliability at scale.
  • Design logical and physical data models that translate business requirements into robust, maintainable database structures.
  • Partner with application developers, business analysts, and cross-functional stakeholders to gather requirements and deliver database solutions that address real business needs.
  • Define and enforce standards for coding, testing, debugging, and implementation to maintain consistency and quality across the engineering team.
  • Mentor and support mid-level engineers and analysts, providing technical direction and allocating work to maximize team effectiveness.

Benefits

  • A hybrid working model with 3 days in the office and 2 days working remotely, giving you flexibility alongside meaningful in-person collaboration.
  • Senior-level ownership of technical delivery, with the autonomy to shape database architecture and engineering standards across the platform.
  • Access to learning and development resources that support continuous technical growth and career progression.
  • The opportunity to mentor and develop the next generation of engineers, building leadership capability alongside technical expertise.
  • Wellbeing and financial support programmes designed to help you thrive both professionally and personally.
  • Exposure to global teams and large-scale systems, working on data infrastructure that operates at the heart of one of the world's leading financial institutions.
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