Job Description

Data Engineer/Architect

Location: Toronto, ON/Halifax, NS (Hybrid)

We need: A senior (10+ years) Data Engineer / Architect to design, implement, and optimize robust data solutions that power our applications, analytics, and reporting systems. This role requires strong expertise in both SQL and NoSQL technologies, advanced data processing, and the ability to architect scalable and secure data flows. They will Implement and manage data caching solutions using Redis and ElasticSearch for performance optimization, Lead data mapping and transformation initiatives, ensuring data quality, consistency, and integrity and Plan and execute data migration and synchronization strategies between systems and environments. Hands-on experience with Kafka and/or Solace for event streaming and real-time data processing. Banking or Capital Markets experience is a big plus but not required.

:

We are seeking a highly skilled

Senior Data Engineer/Architect

to design, implement, and optimize robust data solutions that power our applications, analytics, and reporting systems. This role requires strong expertise in both SQL and NoSQL technologies, advanced data processing, and the ability to architect scalable and secure data flows. The ideal candidate will be hands-on, detail-oriented, and capable of translating complex business needs into efficient, reliable data architectures.

Key Responsibilities:

Design and develop scalable data architectures and processing pipelines to support business and analytical needs.

Write and optimize complex SQL and NoSQL queries for efficient data retrieval and transformation.

Implement and manage data caching solutions using

Redis

and

ElasticSearch

for performance optimization.

Lead

data mapping

and

transformation

initiatives, ensuring data quality, consistency, and integrity.

Plan and execute

data migration

and

synchronization

strategies between systems and environments.

Integrate and manage

APIs

for data ingestion, transformation, and distribution.

Develop and maintain

data analytics

and

reporting

frameworks to deliver actionable insights.

Work with

graph databases

and

vector data models

to support advanced analytics and AI/ML use cases.

Create clear, comprehensive diagrams of

data architecture, processing workflows, and data flows

for documentation and collaboration.

Collaborate with cross-functional teams, including software engineers, product managers, and analysts, to ensure seamless data operations.

Preferred Skills & Technologies:

Hands-on experience with

Kafka

and/or

Solace

for event streaming and real-time data processing.

Familiarity with data security best practices, compliance requirements, and governance frameworks.

Experience with cloud data platforms (AWS, Azure, or GCP).

Knowledge of containerization and orchestration tools (Docker, Kubernetes).

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.

7+ years of experience in data engineering, data architecture, or related roles.

Proven track record of designing and implementing complex, large-scale data solutions.

Strong analytical skills, attention to detail, and problem-solving ability.

Excellent communication skills and the ability to work collaboratively across teams

Job Types: Full-time, Permanent, Fixed term contract
Contract length: 12 months

Pay: $106,809.08-$140,000.00 per year