Applications Development Sr Programmer Analyst - Assistant Vice President

Citigroup Inc.; Mississauga; On-site; CAD 134,000 - 200,000; Full time

Job summary

Citi is seeking a Principal Engineer to design and maintain enterprise-grade data pipelines and AI-enabled solutions in a retail and wealth risk context. The role emphasizes building scalable data fabrics, data mesh concepts, and robust integration with microservices in a cloud-native environment.

The ideal candidate will lead engineering efforts for ELT/ETL with PySpark, Python, and Databricks, while collaborating across risk and technology teams to drive advanced analytics and automation.

Qualifications

• 8+ years in large-scale application development
• 5+ years leading Python/PySpark ELT/ETL in enterprise
• Hands-on agentic AI development and model integration using YAML/JSON/FAST API/Goo gle ADK

Responsibilities

• Design, develop, and maintain scalable AI-enabled data pipelines
• Deploy GEN AI agents to support automation and analytics
• Build data federation layers for lambda and Data Mesh architectures
• Develop microservice integrations with CI/CD pipelines
• Ensure data quality, security, and governance across the lifecycle
• Drive compliance and risk-awareness in technology decisions

Skills

Python

PySpark

SQL

Googles ADK

Kafka

Education

Bachelor's in CS/Engineering

Master's preferred

Tools

Databricks

Kubernetes

Spark

Job description

Job Summary We are seeking a highly motivated and experiencedPrincipal Engineerto join ourRetail and Wealth Risk Engineeringteam under theEnterprise Risk Technologyplatform. This is an intermediate-level position responsible for designing, building, and maintaining robust, scalable data pipelines and solutions that leverage cutting-edge Mandatory platform for the secure and scalable deployment of AI agents, Big Data, Databrick and AI technologies. The ideal candidate is a high-impact individual with a passion for data, analytics, and problem-solving. You will play a key role in driving business engagement and growth by building the next generation of data and analytics platforms.

Responsibilities

• Design, develop, and maintain scalable, enterprise-grade AI agents , supporting ELT/ETL processes to handle large data volumes using the Python, FAST API, Microservices , PySpark, Kafka and Databricks ecosystem.

• Build and Deploy GEN AI Agents using Googles ADK and Google Flash 2.5+ LLMs to support application automation supports and its deep insights, workflow support with HIL - Human in loop architecture.

• Build and maintain data federation layers for lambda and Data Mesh architectures using tools like Starburst, with a strategy for adopting AI-based use cases (e.g., machine learning, deep learning, NLP) to drive efficiency.

• Develop, deploy, and automate microservice integrations to support data-intensive applications, ensuring scalability, resilience, and maintainability using cloud native infrastructure and openshift or Kubernates architecture including CI/CD pipelines.

• Integrate and leverage agentic AI tools (e.g., Devin.AI, Github Copilot) and platforms (e.g., MCP) through advanced prompt engineering to enhance development and operational efficiency.

• Ensure data quality, integrity, and security throughout the entire data lifecycle.

• Contribute to the continuous improvement of data engineering processes, standards, and best practices within the team.

• Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citi, its clients, and assets by driving compliance with applicable laws, rules, and regulations. Adhere to Policy, apply sound ethical judgment, and elevate, manage, and report control issues with transparency.

Qualifications

Required:

• 8+ years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agents into application contexts

• Minimum of 5+ years of proven experience in a Python and pyspark Engineering lead role focused on building enterprise-grade, high-volume ELT/ETL processes using thePySpark and Databricks ecosystem.

• Hands-on experience with agentic AI development using YAML, JSON, FAST API or Spring boot, Google ADK, LLM itegrations, includingDevin.AI or Github Copilot, and integrating models via platforms likeMCPusing advanced prompt engineering.

• Proven experience developing andautomating microservice integrationsto support data-intensive applications.

• Proficiency in at least one programming language commonly used for data analytics, engineering, such asPython or Scala.

• Strong SQL skills and experience with various relational databases.

• Deep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation.

• Excellent communication, collaboration, and problem-solving skills.

Preferred:

• Experience with cloud-based Big Data platforms (e.g.,Cloudera, Databricks, AWS, Azure, GCP).

• Experience with frontend technologies such asAngular or React JSfor building data-driven application interfaces.

• Practical experience applying AI/ML techniques to solve real-world business problems.

• Familiarity with containerization technologies (e.g., Docker, Kubernetes).

• Experience in data engineering within the banking retail products domain (e.g., Cards, Mortgage, Deposits, Wealth Management).

• Relevant industry certifications (e.g., AWS Certified Big Data - Specialty, Azure Data Engineer Associate).

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• Master’s degree is a plus.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location Full Time Salary Range:

$94,300.00 - $141,500.00

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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.

This job opening is for an existing job vacancy.

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