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Added 2 days ago
PF
Data Engineer
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Experience with Databricks, Spark, Delta Lake, or a comparable modern data platform.
Added 2 days ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
As a Senior Databricks Data Platform Engineer, you will own the engineering, automation, and day-to-day health of our enterprise Databricks Lakehouse platform. This is a platform-first…
Added 2 days ago
IG
DevOps Engineer | Azure + GitHub Enterprise
Insight Global
Toronto, ON
- $62.86 to $68.75 CAD / hour
- Contract
A key component of this role will be supporting and helping lead the organization's transition from Azure DevOps to GitHub Enterprise, including repository, pipeline, permissions, workflow,…
Added 4 days ago
R
IT - Specialty Developer - Senior
Raise
Toronto, ON
- Full-time
DevOps Engineer responsible for DevOps engineering across Azure DevOps and GitHub Enterprise, including leadership of ADO to GHE migration initiatives. Serves as SME for deploying Azure…
Added 4 days ago
SC
Principal Data Engineer
Sleep Country
Brampton, ON
- Full-time
Deep cloud-platform expertise, preferably with Microsoft Azure technologies such as Azure Data Factory, Databricks, Synapse, Fabric, Data Lake, and Azure DevOps.
Added 5 days ago
T
Software Engineer III
TD
Toronto, ON
- Full-time
As a lead software engineer, you are accountable for shaping and delivering end-to-end solutions for enterprise-grade platforms and complex initiatives. You set technical direction, define…
Added 5 days ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
As a Software Engineer II, you provide technical expertise to implement scalable, reliable and secure solutions for EDMO Data Catalog services. You contribute to solutions that operate…
Added 5 days ago
C
Senior IT Infrastructure Engineer
Cytel
Canada
- Full-time
The Senior Azure Engineer will independently lead complex technical workstreams, make sound implementation decisions, troubleshoot difficult production issues, contribute to architecture…
Added 5 days ago
C
Lead Data Engineer
CGI
Halifax, NS
- Full-time
The Sr/Lead Data Engineer is someone who has the skills to lead the engineering team, including strong communication skills and ability to be self sufficient
Added 5 days ago
B
Sr. Angular Front End Engineer - Azure DevOps/Banking
BeachHead
Toronto, ON
- Contract
Working with one of our top financial clients, this role calls for a Sr. Angular Front End Engineer- Azure DevOps/Banking to lead DevOps engineering across Azure DevOps and GitHub…
Added 6 days ago
GT
DevOps Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $80 to $90 CAD / hour
- Contract
This DevOps Engineer role sits within the Global Asset Management (GAM) line of business and is focused on MOP (Maintain Operations/Tech Debt) funded activity. The contractor will be…
Added 6 days ago
JC
Senior Databricks Engineer (ML/AI)
Jarvis Consulting Group
Toronto, ON
- $90 to $120 CAD / hour
- Contract
Jarvis Consulting has an immediate need for a Senior ML/AI Databricks Engineer.
Added 6 days ago
NI
Data Modeler
Nityo Infotech
Toronto, ON
- Contract
Minimum 2+ years of experience with Azure Cloud Development such as Azure Databricks (primary platform for PySpark), Azure Data Factory (ADF), Azure Synapse
Added 6 days ago
AC
Principal Presales Solutions Architect
Adastra Corporation
Markham, ON
- Full-time
Certifications across more than one vendor, for example Azure Solutions Architect Expert, AWS Solutions Architect Professional, Databricks Data Engineer Professional, or SnowPro Advanced.
Added 6 days ago
I
Data Governance Architect
Infostrux
Toronto, ON
- Full-time
…frameworks. You bring a complete view of the client's data platform through a governance lens, along with the project management and consulting skills to turn that view into a plan the…
Added 9 days ago
AS
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 9 days ago
W
Senior/Lead Azure Data Engineer
Wipro
Toronto, ON
- Full-time
We are seeking a highly skilled Senior/Lead Azure Data Engineer to design, develop, and optimize large-scale cloud-based data solutions on Microsoft Azure. The ideal candidate will have…
Added 9 days ago
B
Senior Software Engineer
BCI
Victoria, BC · Vancouver, BC · CA Victoria
- Full-time
Modern tools, pushing boundaries: We run Databricks (Unity Catalog, Apps, Lakebase, Genie, Vector Search), Azure, Power BI, and enterprise Claude across the full product suite (Claude Code,…
Added 10 days ago
B
Senior Software Engineer
BCI
Victoria, BC
- $106,000 to $128,000 CAD / year
- Full-time
Modern tools, pushing boundaries: We run Databricks (Unity Catalog, Apps, Lakebase, Genie, Vector Search), Azure, Power BI, and enterprise Claude across the full product suite (Claude Code,…
Added 10 days ago
B
Senior Software Engineer
BCI
Vancouver, BC
- $106,000 to $128,000 CAD / year
- Full-time
Modern tools, pushing boundaries: We run Databricks (Unity Catalog, Apps, Lakebase, Genie, Vector Search), Azure, Power BI, and enterprise Claude across the full product suite (Claude Code,…
Added 10 days ago
Lead Data Engineer
Gore Mutual Insurance
Toronto, ON · Cambridge, ON
Deep, hands-on knowledge of Azure Databricks (Unity Catalog, Delta Lake, Lakeflow/Jobs, compute and cost optimization) and related Microsoft Azure services (DevOps, Azure Storage, Key…
Added 10 days ago
KC
Senior Consultant, Databricks Data Engineer, Data & AI
KPMG Canada
Vancouver, BC
- Full-time
Our team is looking for a Data Engineer with extensive hands-on expertise in Databricks and strong consulting capability. This role will support and lead modernization initiatives from…
Added 11 days ago
KC
Senior Consultant, Databricks Data Engineer, Data & AI
KPMG Canada
Calgary, AB
- Full-time
Our team is looking for a Data Engineer with extensive hands-on expertise in Databricks and strong consulting capability. This role will support and lead modernization initiatives from…
Added 11 days ago
AI Enablement Engineer
Scotiabank
Toronto, ON
5+ years of experience in a role such as Technical Systems Analyst, Platform Enablement Lead, or Technical Product Owner
Added 11 days ago
FN
AI Engineer
First National Financial LP
Toronto, ON · East York, ON
- Full-time
Build on shared AI Factory services and approved patterns across Databricks and Azure, including governed data, Vector Search, model and prompt registries, evaluation harnesses, APIs,…

Scotiabank

Director, Data Engineering, International Banking, Toronto, Mexico, Colombia, Peru

Toronto, ON, M5H 1H1, Canada

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Job details

Experience: 10+ years of experience in data engineering, platform engineering, DevOps, SRE, or DataOps, including at least 5 years in a leadership role managing distributed technical teams.
Posting language: English
Posted: Sep 25, 2026

Original job description

Requisition ID: 274865

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Role

The Director, DataOps is a senior technology leadership role accountable for the operational excellence, reliability, security, scalability, and cost efficiency of the Azure Databricks platform and related data operations across Mexico, Caribbean, Chile, Peru, and Uruguay.

This role leads a distributed team responsible for production data pipeline operations, CI/CD enablement, platform onboarding, observability, incident management, governance controls, and continuous improvement of the Lakehouse operating model. The Director will partner closely with Data Engineering, Architecture, Platform Engineering, Cybersecurity, Risk, Compliance, and business stakeholders to ensure Databricks-based data products are delivered safely, reliably, and in alignment with regional priorities and enterprise standards.

Is this role right for you? In this role you will:

Regional Leadership & Team Management:

Lead, coach, and scale a regional DataOps organization across Mexico, Caribbean, Chile, Peru, and Uruguay, with clear accountability for production operations, engineering discipline, service reliability, and continuous improvement.
Define operating objectives, performance expectations, delivery metrics, and talent development plans for engineers, operations leads, and platform support roles.
Coordinate priorities across countries, time zones, and partner teams, ensuring transparent execution, consistent standards, and timely escalation of risks, blockers, and service-impacting issues.

DataOps Strategy, Operating Model & Execution:

Define and implement the DataOps operating model for Azure Databricks, including platform onboarding, environment management, release controls, production support, change management, and operational governance.
Drive automation across the data delivery lifecycle, including CI/CD pipelines, infrastructure-as-code, automated testing, deployment gates, code promotion, rollback patterns, and release traceability.
Establish and monitor service-level objectives for data pipelines and platform operations, including availability, data freshness, latency, job success rates, incident response, recovery time, and data quality.

Databricks Platform Operations & Reliability:

Own the operational readiness of Azure Databricks workspaces, clusters, jobs, workflows, notebooks, libraries, secrets, service principals, and production deployment patterns.
Partner with Platform Engineering and Architecture to define secure, scalable workspace patterns, environment separation, cluster policies, runtime standards, capacity planning, and platform guardrails.
Build a strong observability practice for pipelines and platform services, including monitoring, alerting, logging, operational dashboards, root-cause analysis, and problem management.

Cloud Infrastructure Management:

Oversee the design, deployment, and optimization of cloud-based data infrastructure supporting Azure Databricks, including secure connectivity, storage integration, workload isolation, and scalable compute patterns.
Lead FinOps discipline for Databricks workloads, including cost transparency, tagging, budget controls, rightsizing, auto-termination, utilization reporting, capacity forecasting, and optimization of compute spend.
Ensure compliance with enterprise cloud, cybersecurity, privacy, data residency, and regulatory requirements, coordinating with control functions and regional stakeholders as needed.

Governance, Security & Data Controls:

Define and enforce governance practices for Databricks and lakehouse assets, including Unity Catalog adoption, access management, data lineage, auditability, ownership models, and production data controls.
Establish secure operating patterns for service principals, secrets management, privileged access, environment segregation, and production job execution.
Partner with Cybersecurity, Risk, Compliance, and Architecture teams to ensure controls are embedded early in the delivery lifecycle and continuously validated through operational reporting.

Stakeholder Engagement & Operational Excellence:

Serve as the operational owner and escalation point for Databricks DataOps across regional, global, platform, architecture, security, and business stakeholder groups.
Communicate operational health, delivery progress, risks, incidents, remediation plans, platform dependencies, and investment needs to senior leadership.
Establish executive-ready KPIs and dashboards covering platform adoption, pipeline reliability, SLA performance, data quality, incidents, cost efficiency, onboarding progress, and engineering productivity.

Innovation & Best Practices:

Stay current with Databricks, Azure, DataOps, DevSecOps, FinOps, observability, and data engineering practices, translating relevant capabilities into practical standards for the organization.
Develop reusable playbooks, templates, reference architectures, onboarding guides, runbooks, support models, and engineering standards to accelerate safe and consistent adoption of Databricks.

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

Bachelor’s degree in computer science, Data Engineering, Information Technology, or a related field; Master’s degree preferred.
10+ years of experience in data engineering, platform engineering, DevOps, SRE, or DataOps, including at least 5 years in a leadership role managing distributed technical teams.
Proven experience operating enterprise-scale data platforms in production, including incident management, release management, monitoring, SLA/SLO governance, and continuous improvement.
Deep hands-on knowledge of Azure Databricks, Spark, Delta Lake, Databricks Workflows/Jobs, workspace administration, cluster policies, runtime management, and integration with Azure data services.
Strong expertise in CI/CD and DevSecOps for data workloads, including Git-based development, automated testing, deployment pipelines, release gates, code quality controls, and rollback mechanisms.
Demonstrated ability to implement security, privacy, compliance, auditability, identity, access, and data governance controls in cloud data environments.
Experience with infrastructure-as-code, preferably Terraform, and monitoring/observability solutions such as Azure Monitor, Log Analytics, Databricks system tables, or equivalent tools.
Relevant certifications preferred, such as Azure Data Engineer Associate, Azure Solutions Architect, Azure DevOps Engineer, Databricks certifications, Terraform Associate, or equivalent experience.
Strong leadership, communication, and stakeholder management skills.
Proficiency in programming languages such as Python, SQL, or Scala.
Experience leading cost optimization and capacity planning for cloud data platforms, including budget controls, usage analytics, workload placement, and performance tuning.

Success Measures:

Improved production reliability of Databricks pipelines and reduced recurring incidents.
Faster and safer delivery through standardized CI/CD, automated testing, and controlled release practices.
Clear operational visibility through dashboards for SLAs, pipeline health, cost, onboarding, incidents, and data quality.
Stronger governance posture through consistent access controls, auditability, lineage, and documented ownership.
Optimized Databricks consumption through proactive FinOps practices, capacity planning, and workload tuning.

Additional Considerations:

Experience operating in highly regulated, multi-country, multicultural environments, preferably in financial services or banking.
Ability to travel regionally as required.
Spanish and English fluency preferred.
Strong executive communication skills, with the ability to simplify complex platforms, risk, and operational topics for senior leadership and non-technical stakeholders.

What's in it for you? 

We are technology partners who help the business transform how our employees around the world work
We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
We foster an environment of innovation and continuous learning
We care about our people, allowing them to design how they work to deliver amazing results
We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

Location(s): Canada : Ontario : Toronto || Colombia : Bogota : Bogota || Mexico : Ciudad de México : Mexico

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

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More about this job

Responsibilities

The Director of DataOps leads a distributed team responsible for the operational excellence, security, and scalability of the Azure Databricks platform across multiple international regions. They define the DataOps strategy, manage production data pipelines, and ensure alignment with enterprise standards and regulatory requirements.

Requirements

Candidates must have at least 10 years of experience in data engineering or platform operations, with a minimum of 5 years in a leadership role. A bachelor's degree in a technical field is required, along with deep expertise in Azure Databricks, CI/CD, and cloud infrastructure management.

Skills

Azure Databricks
DataOps
Leadership
Cloud infrastructure
CI/CD
DevSecOps
FinOps
Python
SQL
Scala
Data governance
Incident management
Spark
Delta Lake
Terraform
Stakeholder management

Benefits

Performance bonus
Company matching programs
Pension
Profit sharing
Generous vacation

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
DataOps
DevSecOps
FinOps
Spark
Delta Lake
Unity Catalog
CI/CD
Terraform
Azure Monitor
Log Analytics
Python
SQL
Scala
Cloud Infrastructure
Data Governance
SRE
Platform Engineering
Data Engineering
Incident Management
Capacity Planning
Observability
Infrastructure-as-code
Regulatory Compliance
Financial Services
Banking
Leadership
Data Lineage
Workload Optimization
Service-level objectives

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