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Senior Data Engineer Manager Jobs in Toronto, ON

Senior Data Engineer

Toronto, ON · Remote

CA$110K - CA$145K/yr

SENIOR DATA ENGINEER- Toronto ( 3 days downtown/Hybrid) Our client is interviewing to onboard a ... We are looking for Data Engineers with proven track record working within the Wealth Mgmt. / ...

Senior Data Engineer

Toronto, ON · Hybrid

CA$100/hr

Senior Data Engineer Structure: Hybrid (2 days onsite / 3 days remote) - Toronto Duration: 6-Month ... 360) and Salesforce Loyalty Management * Develop automation solutions that reduce manual ...

Reporting to the Manager, Software Engineering, the Senior Data Engineer works across investment teams including Capital Markets, Infrastructure, Private Equity, Private Capital and Ventures, and ...

We're seeking a Senior Data Engineer to join our Delivery Team. In this role, you'll design and ... Deep practical knowledge of building and managing reliable, self-managing ETL/ELT pipelines using ...

New

Senior Data Engineer - JLL What this job involves: As a Senior Data Engineer at JLL, you will ... investment management services. We take our responsibility to protect the personal information ...

A Sr. Data Engineer is sought to join the team. This individual will play a key role in evolving the core data platform, which includes data pipelines, machine learning models, and various databases.

Our GFL team is expanding, and we are seeking a highly skilled Senior Data Engineer with experience ... Use Terraform/CloudFormation to manage and provision infrastructure in a reproducible and scalable ...

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 ... What You'll Do * Design, build, and manage robust data pipelines and data architectures.

Senior Data Engineer

Oakville, ON · Hybrid

CA$127K - CA$155K/yr

You are recruited early and help stand up the managed foundation alongside the architect, then ... Senior data engineering experience, typically 6+ years, building and operating production pipelines ...

Senior Data Engineer

Toronto, ON · On-site

CA$90K - CA$132K/yr

The Role: We are looking for a Senior Data Engineer with a minimum of 5+ years of experience in ... Manage SQL scripts, Python code, and Snowflake objects in a structured and maintainable way. * Use ...

Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights ...

Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights ...

We are seeking an experienced Senior Data Engineer with deep expertise in Google Cloud Platform ... Partner with stakeholders and product managers to gather requirements, design ingestion patterns ...

This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto ... We are seeking a Senior Data Engineer to help design and build the next generation of our Data ...

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Showing results 1-20

Senior Data Engineer Manager information

What does a Senior Data Engineer Manager do?

A Senior Data Engineer Manager oversees teams of data engineers responsible for designing, building, and maintaining an organization’s data infrastructure. They develop strategies for data architecture, ensure the quality and security of data systems, and collaborate with other departments to meet business goals. In addition to technical responsibilities, they manage team performance, provide mentorship, and align data initiatives with company objectives.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Manager?

To thrive as a Senior Data Engineer Manager, you need deep expertise in data engineering, architecture, and leadership, typically backed by a degree in computer science or a related field and several years of experience. Proficiency with big data tools (such as Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, or GCP), and data pipeline orchestration systems is essential, and certifications in these technologies can be advantageous. Exceptional communication, team management, and strategic thinking skills help you lead teams and align data solutions with business goals. These skills and qualities are vital for building scalable data infrastructure, fostering high-performing teams, and delivering actionable insights to drive organizational success.

What are some common challenges that Senior Data Engineer Managers face when leading data teams?

Senior Data Engineer Managers often encounter challenges in balancing strategic oversight with hands-on technical leadership. Managing cross-functional teams means coordinating efforts across data engineering, analytics, and business stakeholders, which can lead to complex communication and prioritization issues. Additionally, overseeing large-scale data infrastructure projects requires staying updated on evolving technologies while ensuring data quality and security. Effective delegation, fostering team growth, and aligning technical solutions with business goals are key to overcoming these challenges.

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

AspectSenior Data Engineer ManagerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often leadership experienceBachelor's in CS, Data Science, or related
Work EnvironmentLeads teams, manages projects, strategic planningDevelops data pipelines, coding, data modeling
Industry UsageCommon in organizations with large data teamsEntry to mid-level roles in data teams

The Senior Data Engineer Manager oversees data engineering teams and projects, focusing on leadership and strategy, while Data Engineers primarily build and maintain data pipelines and infrastructure. The managerial role requires leadership skills and experience, whereas Data Engineers focus on technical execution.

What are popular job titles related to Senior Data Engineer Manager jobs in Toronto, ON?

For Senior Data Engineer Manager jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer Manager jobs in Toronto, ON look for?

The top searched job categories for Senior Data Engineer Manager jobs in Toronto, ON are:

Infographic showing various Senior Data Engineer Manager job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Data Engineer

Talent To Hire Inc.

Toronto, ON • Remote

CA$110K - CA$145K/yr

Full-time

Re-posted 28 days ago


Job description

SENIOR DATA ENGINEER- Toronto ( 3 days downtown/Hybrid)

Our client is interviewing to onboard a Senior Data Engineers to join their Data & Analytics team within the Wealth Technology group. We are looking for Data Engineers with proven track record working within the Wealth Mgmt. / Financial sector. You’ll help build and optimize scalable data pipelines, support data governance, and enable advanced analytics across the organization. Be part of a high-impact team driving data innovation in the wealth tech space.

What You’ll Do:

  • Design, build, and maintain robust ETL/ELT data pipelines.

  • Collaborate with analysts and business teams to translate needs into technical solutions.

  • Recommend scalable data architectures using AWS, Snowflake, and modern data stack tools.

  • Ensure data quality, observability, and governance across systems.

  • Lead or support migration projects to cloud-based platforms.

  • Mentor junior engineers and promote engineering best practices.

What You’ll Bring:

  • 8+ years of data engineering experience.

  • Strong skills in SQL, Python, Airflow, Snowflake, AWS Glue, S3, Lambda, and Terraform.

  • Experience with CI/CD, data lineage, and monitoring tools.

  • Financial services experience is a MUST.

    Screening Questions:

    1-How proficient are you with programming languages and tools for data engineering tasks (e.g., SQL, Python, Airflow, Terraform)? how many years?

    2- Can you describe your experience designing, building, and maintaining ETL/ELT pipelines? Which tools and technologies did you use?

    3-Have you worked directly with analysts or business stakeholders to translate business needs into technical data solutions? Can you share an example?

    4-What is your experience designing data architectures on AWS using services like Glue, S3, Lambda, and Redshift or Snowflake?

    5-How do you ensure data quality, observability, and lineage in your pipelines? What tools or practices have you implemented?

    6-Have you participated in or led a cloud data migration project? What was your role and what challenges did you face?

    7-Describe a time when you mentored junior engineers or promoted engineering best practices within a team.

    8-How many years of hands-on experience do you have in data engineering? What types of systems or industries have you worked in?

    9- Have you worked with CI/CD pipelines for data deployments or infrastructure? What tools did you use and how did you manage rollouts?


    10-Do you have experience working in financial services or other regulated industries? If so, what types of data and systems were involved?

Send your resume and reply to above screening questions to : sasha@talenttohire.com

For more positions , visit: https://www.linkedin.com/company/talenttohire/jobs