Issuer Services Application Development and Data Manager

Citi; Mississauga; On-site; CAD 145,000 - 218,000; Full time

Job summary

A financial services company is seeking a Senior Application Development and Data Manager to lead data engineering teams and optimize data processes. The ideal candidate will have over 10 years of technical experience, strong leadership skills, and expertise in ETL workflows and cloud platforms. The work environment emphasizes innovation and strategic team management, with a competitive salary range of $145,100 to $217,700.

Qualifications

• 10+ years of relevant experience in Software Development or related technical roles.
• Proven leadership and team management experience.
• Expert familiarity with the Software Development lifecycle (SDLC).

Responsibilities

• Build and optimize ETL workflows for complex datasets.
• Lead data migration into HDFS/Hadoop ecosystems.
• Act as a technical lead for a team of data engineers.

Skills

Leadership

Data Engineering

Software Development

Communication

Education

Bachelor’s degree in Computer Science or Engineering

Master’s degree preferred

Tools

Spark

Hadoop

Python

DevOps tools (e.g., Jenkins, Docker)

Job description

Overview of the Role

The Issuer Services Application Development and Data Manager is a critical senior management position, primarily focused on people leadership and organizational effectiveness. This role bears the responsibility for accomplishing significant results through the diligent management, mentorship, and development of a high-caliber team or an entire department dedicated to application systems.

The fundamental purpose is to orchestrate the successful establishment, implementation, and enhancement of new or revised application systems and programs, working in close collaboration and strategic partnership with the wider Technology Team.

The ultimate objective extends beyond just technical delivery; it is to cultivate an environment that empowers teams, fosters innovation, and streamlines applications systems analysis and programming activities to achieve peak performance and deliver consistent, high-quality software solutions that directly support business objectives. This manager acts as a vital enabler, fostering growth, resolving complex team dynamics, and ensuring the collective success of their people.

Responsibilities

Data Engineering & Development

• Build, and optimize ETL workflows to handle large, complex datasets from multiple financial platforms.

• Lead migration of structured and unstructured datasets into HDFS/Hadoop-based ecosystems, ensuring high performance and fault tolerance.

• Leverage Banzai orchestration frameworks for job scheduling, monitoring, and recovery across complex workflows.

• Develop scalable data ingestion solutions for batch and near real-time processing using Spark, Hive, Impala, or similar tools.

• Write efficient Python/Scala/SQL code for data manipulation, enrichment, and validation.

• Partner with governance teams to ensure all data movement and transformations adhere to legal, risk, and privacy requirements.

• Troubleshoot complex performance bottlenecks in ETL and Hadoop clusters.

Leadership & Collaboration

• Act as a technical lead for a small team of data engineers, reviewing code, enforcing standards, and mentoring team members.

• Partner with product owners, architects, compliance, and operations teams to align data delivery with business and regulatory requirements.

• Contribute to data platform modernization initiatives, including migration to cloud-native and containerized ecosystems.

Qualifications

• 10+ years of relevant experience in Software Development or other related technical roles.

• Proven leadership and team management experience, including mentoring, performance management, and fostering a high-performing engineering culture.

• Demonstrated ability to define, drive, and execute technical strategy, fostering innovation and continuous improvement within development teams.

• Expert familiarity with the Software Development lifecycle (SDLC) and general technical concepts, sufficient to effectively manage technical teams and understand their challenges, with direct hands-on technical expertise.

• Strong technical background, including hands-on experience and architectural understanding in several of the following areas:

• System Design & Architecture: Demonstrated ability to lead complex distributed system design efforts, evaluate architectural trade-offs (scalability, resilience, security, cost-efficiency), and guide technical teams in building robust, performant, and secure enterprise-grade applications, particularly in the big data domain.

• Apache Spark & PySpark: Deep understanding of Spark Core Concepts (RDDs, DataFrames, Datasets), Internals (Catalyst, Tungsten), Performance Tuning, troubleshooting, and best practices for building production-grade PySpark applications. Experience with Spark Streaming/Structured Streaming is highly valued.

• Cloud Platforms: Extensive experience with at least one major cloud provider (e.g., AWS, Azure, Google Cloud Platform), demonstrating strong understanding of IaaS, PaaS, and FaaS offerings, Managed Services (Databases, Messaging Queues), and Cloud-Native Development Patterns for data pipelines.

• Programming Languages: Proficiency and leadership experience in modern programming languages such as Python for Data Engineering and general software development; strong command of PySpark.

• Microservices Architecture: Deep understanding of Microservices Design principles, including Domain-Driven Design, Inter-service Communication (REST, gRPC, Kafka), Data Consistency Patterns (Saga), API gateways, and Service Mesh technologies.

• DevOps & MLOps Practices: Solid expertise in implementing and promoting DevOps/MLOps culture and practices, including CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps), IaC tools (Terraform, Ansible), Containerization (Docker, Kubernetes), Monitoring and Logging Solutions (Prometheus, Grafana, ELK stack), and Automated Testing strategies.

• Database Technologies: Experience with Relational (PostgreSQL, MySQL, Oracle) and NoSQL databases (MongoDB, Cassandra, Redis), including Data Modeling, Optimization, and Scaling strategies.

• Exceptional communication skills, with a proven ability to articulate complex technical concepts, architectural decisions, and strategic roadmaps clearly and concisely to diverse stakeholders (technical and non-technical).

Education

Bachelor’s degree/University degree in Computer Science, Engineering, or a related technical field or equivalent experience.

Master’s degree preferred.

Education section ends.

Job Family Group: Technology

Job Family: Applications Development

Time Type: Full time

Primary Location Full Time Salary Range: $145,100.00 - $217,700.00

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