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Senior Data Platform Engineer Jobs in Toronto, ON

NimbleRx

Senior Data Engineer

Toronto, ON

Our integrated, privacy-safe platform, enables life sciences companies to drive measurable patient ... As a Senior Data Engineer , you will own Nimble's data platform - the layer that every other team ...

Konrad

Senior Data Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

About The Role As a Senior Data Engineer you'll be tasked with designing, building, and maintaining ... Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be ...

Zynga

Senior Director, Data Platform

Toronto, ON

The Senior Director, Data Platform will lead Zynga's centralized data platform and product strategy ... Experience: 15+ years in data or software engineering, including 8+ years leading and scaling ...

Td

Data Platform Engineering Manager

Toronto, ON · On-site

CA$115K - CA$163K/yr

The Data Platform Engineering Manager role is responsible for designing, building, and operating ... Azure Data Engineer Associate * AWS Data Analytics or Data Engineering Certification * Google ...

iQmetrix

Senior Data Engineer

Toronto, ON · On-site

Interconnected Commerce is an AI-native telecom commerce platform that acts as a system of ... About the Role: The Senior Data Engineer will design, build, and improve the data platform ...

JLL

Senior Data Engineer

Toronto, ON · Remote

Senior Data Engineer - JLL What this job involves: As a Senior Data Engineer at JLL, you will ... You'll design cutting-edge automated frameworks, develop platform features with cross-functional ...

Scotiabank

Senior Data Engineer

Toronto, ON

We are seeking an experienced Senior Data Engineer with deep expertise in Google Cloud Platform ... Leverage SaaS platforms and tools to develop, configure, and automate data workflows, improving ...

Quadreal

Data Engineer, Data Platform

Toronto, ON · On-site

CA$85K - CA$100K/yr

Reporting to the Team Lead, Data Platform, this role will contribute to building, scaling, and optimizing our Enterprise Data Platform on Microsoft Fabric and Azure. This is a hands-on engineering ...

MCKESSON

Senior Data Specialist

Mississauga, ON · Remote

Position Summary The Senior Data Specialist provides technical leadership in designing, developing ... data engineering and enterprise data platform development. * 3+ years of deep hands-on Azure ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Position Summary The Senior Data Specialist provides technical leadership in designing, developing ... data engineering and enterprise data platform development. * 3+ years of deep hands-on Azure ...

Ci

Senior Data Engineer

Toronto, ON · On-site

CA$69K - CA$119K/yr

We are currently seeking a Senior Data Engineer to join the Data, AI & Analytics (DNA) Team. A ... Define, document, and enforce data engineering standards for the platform. * Partner closely with ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Position Summary The Senior Data Specialist provides technical leadership in designing, developing ... data engineering and enterprise data platform development. * 3+ years of deep hands-on Azure ...

Vangard, Inc.

Sr Data Engineer, Specialist

Toronto, ON

CA$90K - CA$140K/yr

We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data ... platforms such as Advisor360, CRM integrations, ETF/MF data pipelines, and other enterprise ...

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All JobsData Platform Engineer JobsSenior Data Platform Engineer JobsSenior Data Platform Engineer Jobs in Toronto, ON

Senior Data Platform Engineer information

What does a senior data platform engineer do?

A Senior Data Platform Engineer is responsible for designing, building, and maintaining large-scale data platforms that support an organization's data analytics and processing needs. They work with various technologies to ensure data is collected, stored, and accessible efficiently and securely. Their role often involves optimizing data pipelines, managing databases, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable data solutions. In addition, they help set best practices and mentor junior engineers on the team.

How does a senior data platform engineer typically collaborate with data scientists and analysts within an organization?

A Senior Data Platform Engineer works closely with data scientists and analysts to understand their data needs and ensure the platform supports efficient data access, processing, and analysis. This often involves designing and implementing data pipelines, optimizing data storage solutions, and ensuring data quality and integrity. Regular communication is essential to align on data requirements, troubleshoot issues, and roll out new platform features that enhance analytical capabilities. Collaboration frequently occurs through agile ceremonies, project meetings, and shared documentation to ensure all stakeholders are aligned and productive.

What are the key skills and qualifications needed to thrive as a senior data platform engineer, and why are they important?

To thrive as a Senior Data Platform Engineer, you need deep expertise in data architecture, database management, ETL design, and programming languages like Python or Java, typically supported by a bachelor's degree in computer science or related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in relevant technologies are commonly required. Strong problem-solving, collaboration, and communication skills set top performers apart in this role. These competencies are essential for building robust, scalable data systems that support business intelligence and data-driven decision-making.

What is the difference between Senior Data Platform Engineer vs Data Engineer?

AspectSenior Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platformsBachelor's in CS, Software Engineering, or related; certifications in data tools are common
Work EnvironmentDesigning, building, and maintaining large-scale data platforms; working with cloud servicesDeveloping data pipelines, ETL processes, and data storage solutions
Industry UsageUsed across tech, finance, healthcare, and retail for managing data infrastructureCommonly employed in similar industries for data processing and integration

The Senior Data Platform Engineer focuses on designing and maintaining scalable data platforms, often with cloud expertise, while Data Engineers primarily develop data pipelines and ETL processes. Both roles require strong technical skills and are vital in data-driven organizations, but the Senior Data Platform Engineer typically has a broader scope and more strategic responsibilities.

What are the most commonly searched types of Data Platform Engineer jobs in Toronto, ON?

The most popular types of Data Platform Engineer jobs in Toronto, ON are:

Senior Data Platform Engineer jobs near you

Senior Data Engineer ( Databricks/Snowflake)

Talent To Hire Inc.

Toronto, ON • Remote

CA$120K - CA$130K/yr

Full-time

Re-posted 15 days ago

Job description

Senior Data Engineer

We are hiring a Senior Data Engineer to join a high-impact Data & Analytics team supporting enterprise data platforms. This is a hands-on role for someone who can own end-to-end data initiatives, from design through deployment, and build scalable data solutions that drive business insights and decision-making. What We’re Looking For is hands-on practical knowledge with modern cloud data platforms (Databricks, Snowflake).

We are specifically seeking candidates who demonstrate:

  • True senior-level autonomy – ability to independently own and lead complex data initiatives end-to-end with minimal oversight

  • Deep, hands-on expertise across the full data lifecycle – including source systems, ingestion, transformation, data modeling, orchestration, and downstream consumption, with full accountability for production-ready solutions

  • Strong system-level thinking – able to design scalable, reliable data architectures beyond just tools and frameworks

  • Ownership mindset – takes responsibility for delivery, quality, and performance in production environments

  • Experience working within Canadian business environments ( financial services / Asset Mgmt. Wealth Mgmt.)

You will play a key role in building modern data pipelines, enabling analytics, and supporting data-driven products.

What You’ll Do

  • Partner with business stakeholders and data teams to gather and translate requirements into scalable solutions

  • Design and implement robust data architectures and workflows

  • Build and maintain ETL/ELT pipelines across multiple data sources

  • Develop high-performance, scalable data pipelines for analytics and reporting

  • Own full lifecycle delivery: design, build, test, deploy

  • Troubleshoot production issues and ensure data reliability and system stability

  • Implement data governance, lineage, and observability best practices

  • Support data migrations to modern cloud platforms (Snowflake / AWS / Databricks)

  • Mentor junior team members and contribute to a high-performing team environment

Tech Stack / Requirements

  • 7+ years in Data Engineering

  • Strong experience with:

    • SQL, Python, APIs, CDC pipelines

    • Cloud platforms: AWS / Azure / GCP

    • Data platforms: Snowflake, Databricks, PySpark

    • ETL tools: AWS Glue, EMR, Lambda

    • Scheduling: Airflow, CRON, Step Functions

    • Databases: PostgreSQL, MySQL, DynamoDB

    • Storage: AWS S3, SFTP

    • CI/CD: Git, Jenkins, Terraform, CloudFormation

What We’re Looking For

  • Strong understanding of modern data architecture & pipeline design

  • Experience building scalable, production-grade data systems

  • Solid experience with data observability and lineage

  • Proven ability to own projects end-to-end

  • Strong communication and stakeholder collaboration skills

Nice to Have

  • Experience in financial services / wealth / capital markets

  • Experience with large-scale data migration projects

Why Join

  • High-impact role with end-to-end ownership

  • Work on modern cloud data platforms

  • Collaborative, growth-oriented environment

  • Opportunity to shape data architecture and strategy

Location

Downtown Toronto (Hybrid -4 days onsite)

Apply: sasha@talenttohire.com