Lead software engineer (python | databricks) Jobs – 82 Openings This Week

Lead Data Scientist
Techblocks —Vaughan, ON
- Azure
- Doctoral degree
- Engineering
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Product Manager Vulnerability & Threat Intelligence (Global Security)
Royal Bank of Canada —Toronto, ON
- Full-time
- Databases
- SQL
- Machine learning
Full Stack Developer
Saltworks Technologies —Richmond, BC
- Full-time
- Azure
- Computer Science
- Engineering
- Dental care
- Vision care
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Consultant, Data Analytics
EPAM Systems, Inc. —Remote
- Remote
- Azure
- Computer Science
- Master's degree
- Employee stock purchase plan
- Disability insurance
Specialist GenAI Architect
Amgen —Remote
- $105,745.10–$143,066.90 a year
- Remote
- Computer science
- Computer Science
- Engineering
6d
Data Engineer - EA Sports FC
Electronic Arts —Vancouver, BC
- $122,300–$170,700 a year
- Full-time
- Maintenance
- SQL
- AWS
- Disability insurance
- Dental care
Engineering Manager - Data Platform
Two Circles —Vancouver, BC
- $120,000–$140,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
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Senior Data Engineer
AppDirect —Montréal, QC
- $100,000–$135,000 a year
- Research
- SQL
- AWS
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8d
Lead Product Manager - AI Developer Platform
Scribd, Inc. —Vancouver, BC
- $141,000–$256,500 a year
- Full-time
- AWS
- Product management
- APIs
- Disability insurance
- Dental care
Engineering Manager, Data AI & Analytics
McCain Foods Limited —Toronto, ON
- $102,700–$137,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
- Dental care
- Vision care
AI Architect (AWS & Agentic AI)
TheAppLabb —Toronto, ON
- Full-time
- Remote
- Azure
- DevOps
- AWS
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Manager, Data & Observability Platform
Kinaxis Inc. —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Engineering
5d
Staff Data Platform Engineer
OXIO —Montréal, QC
- Full-time
- Hybrid work
- SQL
- AWS
- APIs
Principal AI Engineer, Agentic Models and Data Platforms
Royal Bank of Canada —Calgary, AB
- Full-time
- Computer Science
- Master's degree
- SQL
Agentic AI Architect
TheAppLabb —Toronto, ON
- Full-time
- Remote
- Azure
- DevOps
- AWS
Quick apply
Actuarial Manager, Property & Casualty, Actuarial Insurance Solutions
Deloitte —Toronto, ON
- $113,000–$194,000 a year
- Hybrid work
- Bilingual
- Azure
- English
Senior Manager, Data Platform(s) Architect, Data & AI
KPMG —Toronto, ON
- $140,000–$192,000 a year
- Full-time
- Microsoft Excel
- Azure
- SQL
Manager, Data Platform(s) Architect, Data & AI
KPMG —Calgary, AB
- $117,000–$152,500 a year
- Full-time
- Microsoft Excel
- Azure
- SQL
Sr. Manager, Technical Architect – Enterprise AI Solutions
Canadian Solar Inc. —Kitchener, ON
- Full-time
- Azure
- Computer Science
- DevOps
- Dental care
- Paid time off
Quick apply
Senior Data Analytics Engineer | Luma
Dotmatics —Canada
- $71,000–$119,000 a year
- Microsoft Powerpoint
- Microsoft Excel
- Data analysis skills

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Lead Data Scientist

Techblocks -
Vaughan, ON

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Job details

Qualifications

Software engineering
Databricks
Azure
Cloud architecture
Doctoral degree
Applied Mathematics
Team leadership
Coaching
Engineering
Supply chain
Spark
Process improvement
Mathematics
Route planning
Master's degree
SQL
Hiring
Presentation skills
Machine learning
Distributed systems
Mentoring
Data analytics
Quantitative modelling analysis
Software development
Data science
Solution architecture
AI
Leadership
Communication skills
Python

Full job description

About the Role

We are hiring a Lead Data Scientist to own the technical strategy and hands-on development of large-scale optimization and machine learning systems that drive real operational decisions — routing, scheduling, resource allocation, network design, or forecasting-driven planning. You will lead the design of Mixed-Integer Linear Programming (MILP), Vehicle Routing Problem (VRP), constraint programming, and machine learning solutions that turn complex, high-volume operational problems into scalable, production decision systems.

This is a player-coach position. You will set technical direction and mentor a team of data scientists while staying hands-on in solver design, model architecture, and production deployment. You will partner directly with business, engineering, and executive stakeholders to turn operational challenges into optimization systems that deliver measurable gains in cost, efficiency, and service quality — skills that translate directly across supply chain, logistics, workforce, network, and resource-planning problems.

What You'll Do

Optimization & Model Architecture

Own the technical architecture of large-scale optimization systems built on MILP/MIP, constraint programming, and heuristic/metaheuristic solvers (e.g., Gurobi, CPLEX, OR-Tools).
Design and scale routing, scheduling, resource allocation, and network optimization models that account for real-world constraints such as capacity, time windows, territory or zoning restrictions, and service-level commitments.
Set modeling standards, solver performance benchmarks, and reusable optimization frameworks used across the data science team.
Integrate ML-based forecasting (demand, consumption, ETAs, anomalies) with the optimization engine to move decision-making from reactive to prescriptive.

Technical Leadership & Delivery

Define the architecture for deploying optimization and ML solutions in production on cloud/lakehouse platforms (e.g., Azure, Databricks), including validation, monitoring, and rollback strategy.
Lead design reviews and set the bar for model governance, testing, and code quality across the team.
Partner with Data Engineering to productionize solvers and pipelines at the throughput required for large-scale, recurring optimization runs.

Stakeholder Partnership & Team Leadership

Translate operational priorities from business and operations leaders into a prioritized optimization roadmap.
Present model trade-offs, assumptions, and business impact clearly to executive and non-technical audiences.
Hire, mentor, and grow a team of data scientists and optimization engineers; establish career development, code review, and model review practices.

Required Qualifications

10+ years of experience in Data Science, Operations Research, Applied Mathematics, Industrial Engineering, or an equivalent quantitative field, including 3+ years leading or mentoring a team.
A proven track record shipping production MILP/MIP or VRP systems that solve real routing, scheduling, resource allocation, or network optimization problems at scale — not only academic or proof-of-concept work.
Expert-level Python and SQL, with hands-on experience using at least one commercial-grade solver (Gurobi, CPLEX) and/or OR-Tools.
Experience combining ML forecasting with optimization (e.g., demand or consumption forecasting feeding a scheduling or planning engine).
Experience deploying and operating models on cloud/lakehouse platforms (Azure, Databricks, or equivalent).
Strong written and verbal communication; comfortable presenting technical trade-offs to executive stakeholders.

Preferred Qualifications

Master's or PhD in Operations Research, Applied Mathematics, Industrial Engineering, Data Science, or a related field.
Experience applying optimization in supply chain, logistics, transportation, manufacturing, retail, or field-operations settings.
Familiarity with simulation, digital twins, reinforcement learning, or prescriptive analytics.
Experience with Spark or distributed computing for large-scale data processing.
Exposure to MLOps and model governance frameworks.

Tools & Technologies

Python •SQL • Gurobi / CPLEX / OR-Tools • Azure • Databricks •MILP / VRP • Spark • MLOps

Why TechBlocks

Work directly with Fortune 500 executives and digital transformation leaders.
Be part of a fast-growing, AI-native software engineering firm redefining global delivery through our GCC-as-a-Service model.
Collaborate with global teams in Canada, the U.S., and India on cutting-edge cloud and AI initiatives.
Competitive compensation, performance incentives, and a culture that values ownership, agility, and innovation.

Quick apply

Refine Your Search

lead software engineer (python | databricks) jobs

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