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Added 5 hours ago
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Optical AI Product Line Manager
Ciena
Ottawa, ON
- Full-time
As a member of Ciena's Optical Systems Product Line Management team, you will own the strategy and commercialization of Optical networking solutions for AI connectivity across Data Center…
Added 1 day ago
ST
Senior Data Engineer
Sensor Tower
Remote, Canada
- Full-time
- Remote
As Sensor Tower continues to grow as a global company, we are looking for a Senior Data Engineer to build amazing products together. We have a wonderful team of more than a hundred…
Added 1 day ago
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Software Engineer III, Supplier Advertising
Wayfair
Toronto, ON
- $192,047 to $211,914 CAD / year
- Full-time
Build and operate data pipelines in Java (Dataflow/Beam) and SQL (BigQuery) that process events in real time and in batches that power the Wayfair Supplier Advertising Experience platforms .
Added 1 day ago
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Software Engineer II, Supplier Advertising
Wayfair
Toronto, ON
- $151,411 to $169,169 CAD / year
- Full-time
Mudit Sadana is the Display Growth and Decisioning Engineering team manager
Added 1 day ago
AI
Senior AWS Data Engineer - (CDK)Cloud Development Kit , Infrastructure as Code(IaC)
Apptoza Inc.
Toronto, ON
- Contract
Role: Senior AWS Data Engineer - (CDK)Cloud Development Kit , Infrastructure as Code(IaC)
Added 1 day ago
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Lead Data Engineer
Alquemy Search & Consulting
Toronto, ON
- $100,000 to $120,000 USD / year
- Full-time
The Lead, Data Engineering will join the Software Engineering team that leads the delivery of data and application solutions that enable Global Investments (GI) and Corporate teams to…
Added 1 day ago
Software Engineer I
Fivetran
Toronto, ON
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into…
Added 1 day ago
SL
Senior Data Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
The Client Experience Office (CXO) is an important pillar of Sun Life Canada’s Data and Analytics growth and corporate strategy and as such, is seeking experienced data engineering…
Added 1 day ago
RevOps Coordinator | Coordonnateur(trice) des opérations de revenus
Alveole
Montreal, QC
This is a hands-on, highly collaborative role for someone who enjoys solving problems and making things work better. You’ll work closely with our RevOps Manager and GTM Engineer, with…
Added 2 days ago
AI Engineer
BMO
Toronto, ON · BMOPLACE
We are seeking an innovative AI Engineer to help drive the next generation of intelligent solutions across the enterprise. In this role, you will design, develop, deploy, and optimize…
Added 2 days ago
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Software Engineer II (SDET)
TD
Toronto, ON
- Full-time
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at…
Added 2 days ago
PR
Senior/Principal LLM & Evals Engineer
Perennial Resources International
Toronto, ON
- Full-time
We are seeking an experienced GenAI engineer with deep expertise in LLM evaluation, production-grade AI systems, and financial services. The successful candidate will design and improve…
Added 2 days ago
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Google Big Data Platform Engineer II
TD
Toronto, ON
- Full-time
Manage cloud security controls, including GCP Secret Manager, PKI, data encryption, and VPC Service Controls
Added 2 days ago
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Data Engineer, Fraud Predictive Analytics
BMO
Toronto, ON · FCP
- Full-time
Supports development of tools and delivers training for data analytics and AI.
Added 2 days ago
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Quality Assurance Supervisor
Napoleon
Barrie, ON
- Full-time
The Supervisor oversees inspections, audits, containment, nonconformance and corrective action activities, while ensuring compliance with applicable specifications, procedures,…
Added 2 days ago
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Senior Product Manager, Energy Flexibility
Mysa
Canada
- Full-time
We're hiring a Senior Product Manager to own Energy Flexibility at Mysa: the products that turn thousands of thermostats, water heaters, heat pumps, and EV chargers into a dependable grid…
Added 2 days ago
TD
DevOps Engineer
Time Doctor
Remote, Canada
- Contract
- Remote
Time Doctor is hiring a DevOps Engineer to run and scale the cloud infrastructure behind our platform. Most of it runs on Google Cloud, defined in Terraform across 40+ environments, with…
Added 2 days ago
LM
Associate Program Manager
Lockheed Martin
Dartmouth, NS
- Full-time
Supporting the Deputy Program Manager in leading and evolving the CSC Change Management process, ensuring changes are effectively assessed, governed, communicated, approved, and delivered…
Added 2 days ago
GR
Technical Product Manager - Identity and Access Management (IAM)
Global Relay
Kelowna, BC
- Full-time
…industry-leading cloud archiving, surveillance, eDiscovery, and analytics solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms,…
Added 2 days ago
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Consulting Manager, Life Sciences Manufacturing Consulting
Cognizant
Halifax, NS
- Full-time
Lead integrated planning execution and delivery coordination for the GMSx Manufacturing Workstream. This role will operate as both a Release Train Engineer (RTE) and Project Manager…
Added 2 days ago
TS
Analyst – Front Office Application Engineer
TD Securities
Toronto, ON
- Full-time
The Quantitative Engineering and Development (QED) team is a front-office quantitative technology and analytics group within TD Securities that supports the Global Equity Derivatives…
Added 2 days ago
SA
Forward Deployed Engineer
STAN AI
Toronto, ON · North York, ON
- $80,000 to $110,000 USD / year
- Full-time
This is a forward deployed engineer role, you own the technical health of your deployments end to end: when the AI gets something wrong, you find out why - digging through conversation…
Added 2 days ago
TT
Data Engineer (Basketball Strategy)
Toronto Tempo
Toronto, ON
- Full-time
…basketball to Canada! The Toronto Tempo is the WNBA’s 14th franchise and first Canadian team in the league. We are a team that unites and inspires everyone through our core values of…
Added 2 days ago
T
Engineer I
TD
Toronto, ON
- Full-time
We are looking for a motivated Senior Java Developer (Engineer I) to join our Trading Risk Warehouse platform team within TD Securities. The successful candidate will contribute to the…
Added 2 days ago
RB
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
- Full-time
Global Functions Technology (GFT) partners across RBC to deliver transformative platforms and solutions. In Anti-Money Laundering (AML), we are building a Data Foundation Hub to ingest…

Alquemy Search & Consulting

Lead Data Engineer

Toronto, ON, Canada

$100,000 to $120,000 USD / year · Full-time

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Job details

Pay: $100,000 to $120,000 USD / year
Job type: Full-time
Apply by: Nov 22, 2026
Posting language: English
Posted: Oct 23, 2026

Original job description

Lead, Data Engineer

Full-time

Hybrid:** 4 days onsite/week, Monday–Thursday

The Lead, Data Engineering will join the Software Engineering team that leads the delivery of data and application solutions that enable Global Investments (GI) and Corporate teams to analyze opportunities, support investment decision-making, optimize portfolio insights, and strengthen enterprise management capabilities. Reporting to the Manager, Software Engineering, the Lead, Data Engineering works across investment teams including Capital Markets, Infrastructure, Private Equity, Private Capital and Ventures, and Corporate, in close collaboration with Finance, Risk & Compliance teams. As a key member of the Software Engineering team, the Lead, Data Engineering will be hands-on across the full data solution delivery lifecycle, leading the design, development, deployment, and operation of scalable data solutions. This role requires the ability to build trusted relationships with business and technology stakeholders, understand business priorities, define solution architectures, and deliver reliable data products that enable analytics, AI-driven capabilities, and operational excellence. The individual will collaborate closely with Power BI developers, Data Scientists, Investment Professionals, Architects, and Platform Teams, providing technical leadership and integration expertise across one or more application teams.

Responsibilities

Translate business requirements into scalable, secure, and reliable data solutions.
Lead the design, development, deployment, and operational support of data platforms, pipelines, and products using modern cloud and engineering practices.
Define and execute testing strategies, including unit, integration, performance, data quality, and automated regression testing.
Source, transform, and deliver structured and unstructured data assets for analytics, reporting, operational, and AI-enabled use cases.
Develop and maintain ELT/ETL pipelines that achieve high levels of reliability, scalability, performance, and security.
Optimize data pipelines, data models, and platform components for performance, cost efficiency, and operational excellence.
Implement and maintain CI/CD practices, monitoring, observability, auditing, and operational controls to support production-grade solutions.
Provision and manage Azure resources, ensuring appropriate security, governance, and cost management.
Troubleshoot complex technical issues and drive continuous improvement across data solutions and platforms.

Qualifications

Post-secondary education in Computer Science, Software Engineering, Information Technology, or a related discipline.

Required Skills

5+ years delivering complex data engineering and analytics solutions using Microsoft Azure. Experience in the financial services or investment industry is preferred.
Strong understanding of data engineering, cloud, and software engineering best practices, with experience developing and implementing operational procedures, standards, and documentation.
Consistent track record of building deep technical relationships. Experience in aligning expectations across various partners.
Strong analytical and troubleshooting skills, with the ability to trace data lineage, investigate complex workflows, and resolve technical issues with minimal direction.
Motivated and keen to work in a collaborative environment with a focus on team success, knowledge sharing, continuous improvement, and delivering business value.
Enterprise-scale experience designing, building, and supporting cloud-based data platforms, data products, and scalable ELT/ETL solutions on Microsoft Azure.
Strong experience with data architecture, data modeling, data warehousing, and dimensional modeling methodologies such as Kimball and Data Vault 2.0.
Experience with Snowflake.
Strong hands-on experience with Python, PySpark, and SQL.
Deep expertise and Subject Matter Expertise (SME) in Snowflake and dbt, including data modeling, transformation, testing, deployment and performance optimization.
Experience with data orchestration tools such as Prefect, Dagster, Airflow, ADF, or Synapse.
Experience designing and developing Azure Functions and Azure Logic Apps for data integration, automation, and event-driven solutions.
Experience designing data solutions that support AI-enabled use cases, semantic search, or unstructured data processing.
Proven experience implementing and maintaining CI/CD pipelines using GitHub Actions.
Experience translating business requirements into scalable technical solutions and collaborating effectively with business and technology stakeholders.
Experience working in the financial services, asset management, pension, investment management, or similar data-intensive industries.

Preferred Skills

Experience with Azure Databricks.
Experience with Microsoft Fabric.
Experience with Power BI report development, semantic models, and dashboard design.
Experience with containerization and container orchestration technologies.
Experience with Infrastructure-as-Code (IaC) and cloud automation practices.

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More about this job

Responsibilities

Lead the design, development, deployment, and operational support of secure, scalable data platforms, pipelines, and products on Azure. Translate business needs into reliable data solutions, optimize performance and cost, and implement testing, CI/CD, monitoring, governance, and operational controls.

Requirements

Requires post-secondary education in computer science, software engineering, information technology, or a related discipline, plus at least five years delivering complex data engineering and analytics solutions using Microsoft Azure. Candidates should have strong hands-on expertise in Snowflake, dbt, Python, PySpark, SQL, data architecture and modeling, orchestration, CI/CD, and stakeholder collaboration; financial or investment industry experience is preferred.

Skills

Microsoft Azure
Snowflake
dbt
Python
PySpark
SQL
Data Architecture
Data Modeling
Data Warehousing
ETL/ELT Pipelines
Data Orchestration
Azure Functions
Azure Logic Apps
GitHub Actions
CI/CD
Data Quality Testing

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Azure
Snowflake
dbt
Python
PySpark
SQL
Azure Databricks
Microsoft Fabric
Power BI
Prefect
Dagster
Apache Airflow
Azure Data Factory
Azure Synapse
Azure Functions
Azure Logic Apps
GitHub Actions
CI/CD
ETL
ELT
Data Architecture
Data Modeling
Data Warehousing
Kimball Methodology
Data Vault 2.0
Semantic Search
Unstructured Data Processing
Infrastructure As Code
Containerization
Financial Services

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