Senior Data Engineer — Vice President

Location: Mississauga Ontario Canada

Remote Type: Hybrid

Time Type: Full time

Job Description

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.

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.

Required Qualifications & Skills

• 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.

Beneficial Skills & Qualifications

• 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.

What We Offer

At Citi, you will work at the intersection of technology and global finance, solving complex data engineering challenges that have real impact at scale. This is an opportunity to take technical ownership within a high-performing team, contribute to enterprise-wide data infrastructure, and grow your career in a collaborative, performance-driven environment.

• 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.

Build something that matters — apply now to join Citi's data engineering team and lead the development of enterprise-scale solutions that drive decisions across a global financial institution.

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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 Full Time Salary Range:

$120,800.00 - $170,800.00

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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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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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This job opening is for an existing job vacancy.

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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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