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Added 17 mins ago
CC
RQ11753 - Data Analytical Specialist/Scientist - Senior
CCI- Computer Consultants International, Inc.
Toronto, ON
- Full-time
Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences
Added 4 hours ago
Copy of Senior Software Development Engineer in Test, ML
PlayStation Global
Waterloo, ON
…Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product…
Added 7 hours ago
WI
Computing Science Lecturer
Women In Machine Learning And Data Science, Mumbai
Burnaby, BC
- Full-time
…Analogous to tenure-track faculty, Lecturers can be promoted to Senior Lecturer and University Lecturer (equivalent to Full Teaching Professor) ranks, and they can apply for partially/fully…
Added 7 hours ago
G
Head of Tax & Asset Compliance
Geotab
Toronto, ON
- Full-time
…billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety…
Added 7 hours ago
G
Head of Tax & Asset Compliance
Geotab
Waterloo, ON
- Full-time
…billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety…
Added 8 hours ago
C
Ingénieur de données senior
CGI
Montreal, QC
- Full-time
The Data Engineer Senior acts as a specialist in the design, development, integration and optimisation of data solutions. They contribute to the implementation of pipelines, integration…
Added 10 hours ago
UC
Senior AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
We are seeking an experienced Senior AI Developer to lead the design, development, and deployment of enterprise-grade Artificial Intelligence and Machine Learning solutions. In this role,…
Added 11 hours ago
R
Lead Automation Engineer
RBC
Toronto, ON
- Full-time
Mentor and guide senior and junior automation engineers toward technical excellence
Added 12 hours ago
KA
Senior Databricks Engineer
KData AI
Toronto, ON
- Full-time
…benchmarks, leading architecture reviews, and mentoring mid-to-senior engineers while partnering closely with Analytics and Machine Learning…
Added 12 hours ago
RB
Lead Automation Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Mentor and guide senior and junior automation engineers toward technical excellence
Added 12 hours ago
C
Senior Java Engineer – Agentic AI Driven Development
Citi
Mississauga, ON
- Full-time
…fostering a culture of technical excellence and continuous learning: Leverage AI platforms for personalized learning paths, automated code feedback, and explanations of complex technical…
Added 12 hours ago
Senior Data Scientist
Conviva
Toronto, ON
We are looking for a Senior Data Scientist with a strong foundation in Machine Learning, Algorithms, and experienced with AI-native development to help drive our AI Initiatives and…
Added 13 hours ago
AI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Experience testing AI or machine learning-powered applications, Chatbots, LLM validations, APIs, conversational systems, or generative AI features.
Added 13 hours ago
IG
Quality Engineer – AI Chatbot Validation
IMCS Group
ON · Ontario, Canada
- Contract
Experience testing AI or machine learning-powered applications, Chatbots, LLM validations, APIs, conversational systems, or generative AI features.
Added 13 hours ago
C
Senior Data Scientist
Conviva
Toronto, ON
- Full-time
We are looking for a Senior Data Scientist with a strong foundation in Machine Learning, Algorithms, and experienced with AI-native development to help drive our AI Initiatives and…
Added 14 hours ago
UO
Administrative Assistant, Surgery
University of Calgary
Calgary, AB
- Full-time
Establishes and maintains effective, productive relationships with staff, peers, immediate supervisor and senior management and with the campus community
Added 14 hours ago
B
Senior Manager, First Party Fraud Analytics - Onboarding
BMO
Toronto, ON
- Full-time
We are seeking a senior analytical leader to advance BMO’s First Party Fraud (FPF) analytics capabilities. This role is accountable for executing data-driven strategies that proactively…
Added 14 hours ago
RI
Lead Oracle Artificial Intelligence
Raas Infotek
ON · Ontario, Canada
- Contract
5+ years in solution architecture, technical lead, or senior development roles.
Added 14 hours ago
KR
Oracle Technical Lead
KTek Resourcing
Brampton, ON
- Contract
· 5+ years in solution architecture, technical lead, or senior development roles.
Added 14 hours ago
TI
Quality Engineer (QE) / SDET – AI Chatbot Validation
Tekgence Inc
Brampton, ON
- Contract
Experience testing AI or machine learning-powered applications, Chatbots, LLM validations, APIs, conversational systems, or generative AI features.
Added 14 hours ago
VC
URGENT - Sr. Software Engineer (Machine Learning, .Net, Angular, Docker)
VTRAC Consulting Corporation (WBE)
Cambridge, ON · Greater Kitchener-Cambridge-Waterloo Metropolitan Area
- Contract
This is an exciting opportunity for a highly skilled Senior Software (ML) Engineer to develop intelligent, high-performance software solutions that transform modern manufacturing…

KData AI

Senior Databricks Engineer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 2, 2026
Posting language: English
Posted: Nov 2, 2026

Original job description

Role Overview

We are seeking an experienced Senior Databricks Engineer with a deep background in distributed data systems to architect, scale, and optimize enterprise-grade lakehouse solutions. In this role, you will take technical ownership of end-to-end batch and streaming pipelines, implement robust governance and security controls via Unity Catalog, drive platform-wide performance tuning and FinOps initiatives, and mentor engineering talent across the data organization.

Key Responsibilities

Lakehouse Architecture & Modeling: Spearhead the end-to-end technical design and implementation of highly scalable lakehouse pipelines adhering to the Medallion Architecture (Bronze, Silver, Gold), dimensional modeling principles, and robust Change Data Capture (CDC) patterns.
Pipeline Development & Orchestration: Build high-throughput, fault-tolerant batch and real-time streaming ingestion pipelines using PySpark, Spark SQL, Delta Lake, Auto Loader, and Databricks Workflows / Lakeflow Jobs.
Performance Tuning & FinOps Leadership: Profile workloads, analyze execution plans, and optimize compute configurations to drive down runtimes and minimize Databricks Unit (DBU) consumption using liquid clustering, Photon, serverless compute, and automated table maintenance (OPTIMIZE, VACUUM).
Enterprise Governance & Security: Architect and enforce fine-grained access control policies (row/column-level security, data masking), data lineage tracking, and auditing using Databricks Unity Catalog across multi-workspace and multi-region environments.
DevOps, IaC & CI/CD: Establish automated deployment pipelines, testing frameworks, and code promotion standards using Databricks Asset Bundles (DABs), Terraform, and CI/CD tools (GitHub Actions, Azure DevOps, or GitLab CI).
Technical Mentorship & Cross-Functional Alignment: Serve as the subject matter expert on the Databricks ecosystem, establishing code quality benchmarks, leading architecture reviews, and mentoring mid-to-senior engineers while partnering closely with Analytics and Machine Learning teams.

Requirements

Required Qualifications

Experience: 8+ years of hands-on software and data engineering experience, with at least 5+ years of dedicated, deep technical experience architecting and building production-grade solutions on the Databricks platform.
Core Languages: Advanced, expert-level proficiency in Python (PySpark, Spark Core) and Advanced SQL (complex analytical queries, window functions, and physical query execution plan tuning).
Lakehouse Internals: Deep operational mastery of Delta Lake internals (ACID guarantees, transaction logs, data skipping, Z-ordering/liquid clustering, compaction, and schema evolution) along with Structured Streaming.
Cloud Architecture & Networking: Substantial production experience across cloud storage and networking architectures (AWS, Azure, or GCP), including private link, VPC peering/vNet injection, IAM roles, and secure storage access patterns (e.g., ADLS Gen2, AWS S3).
Governance & Access Management: Proven track record designing and managing Databricks Unity Catalog at scale (catalogs, schemas, volumes, external locations, privilege inheritance, and metastore integrations).
Software Engineering Rigor: Strong background in enterprise-level version control workflows (Git), automated unit/integration testing (TDD), modular software design, and automated CI/CD practices.

Preferred Qualifications

Certifications: Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional.
Infrastructure as Code (IaC): Production experience provisioning workspaces, clusters, and access permissions using Terraform.
Modern Data Stack: Practical experience with dbt (dbt-databricks), Apache Kafka, Azure Event Hubs, Delta Live Tables (DLT), or MLflow integration.
BI & Consumption Layer: Hands-on experience optimizing Databricks Serverless SQL Warehouses for downstream consumption tools such as Power BI, Tableau, or Looker.

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More about this job

Responsibilities

Architect and build scalable lakehouse solutions and reliable batch and streaming pipelines, while implementing governance, security, and performance and cost optimizations. Establish deployment and testing practices, lead technical reviews, and mentor engineers while collaborating with analytics and machine learning teams.

Requirements

Requires 8+ years of software and data engineering experience, including at least 5+ years building production Databricks solutions, with expert Python/PySpark and advanced SQL skills. Candidates should have deep Delta Lake and Structured Streaming expertise, cloud networking and storage experience, Unity Catalog governance knowledge, and strong software engineering, testing, Git, and CI/CD practices.

Skills

Databricks
PySpark
Python
Spark SQL
Advanced SQL
Delta Lake
Structured Streaming
Unity Catalog
Lakehouse Architecture
Data Modeling
Change Data Capture
Terraform
CI/CD
Cloud Architecture
Performance Tuning
Technical Mentorship

Visa sponsorship

Not detected in the job text

Keywords

Databricks
PySpark
Python
Spark Core
Spark SQL
Delta Lake
Structured Streaming
Unity Catalog
Medallion Architecture
Change Data Capture
Auto Loader
Databricks Workflows
Lakeflow Jobs
Photon
Liquid Clustering
Databricks Asset Bundles
Terraform
GitHub Actions
Azure DevOps
GitLab CI
AWS
Azure
Google Cloud Platform
ADLS Gen2
Amazon S3
dbt
Apache Kafka
Azure Event Hubs
Delta Live Tables
MLflow

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