Data manager Jobs in Toronto, ON
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Data manager • toronto on
Last updated: 4 days ago
The Manager, Data Engineering is responsible for developing and optimizing data platforms that power enterprise analytics and applications.
Reporting to the VP of Business and Data Architecture, thi...Show moreLast updated: 26 days ago
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.The Senior Manager of Data Engineering is a strategic and technical leadership role responsible...Show moreLast updated: 4 days ago
SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.They play a crucial role...Show moreLast updated: 30+ days ago
This role follows a hybrid model, requiring on-site presence at the Downtown Toronto office and / or client office at least 1 day per week, subject to change based on business needs.Your future dutie...Show moreLast updated: 14 days ago
Toronto, ON; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Moncton, NB; Ottawa, ON.
Regina, SK; Saint John, NB; Saskatoon, SK; St.John's, NL; Vancouver, BC...Show moreLast updated: 30+ days ago
We’re hiring a Manager, Data Scientist to build brand‑new data infrastructure and advances analytics that power smarter, more efficient model development and operational processes.If you love embed...Show moreLast updated: 8 days ago
Our Toronto based client is seeking for an experienced Data Manager Lead to join their team on a full time permanent basis.
The ideal candidate should have a minimum of 7 + years of e...Show moreLast updated: 20 days ago
The Manager, Data Solutions operates at the intersection of advanced analytics, data engineering, and people leadership.This role leads the design and delivery of scalable data solutions across cli...Show moreLast updated: 22 days ago
Manager Data Engineering
GS1 CanadaToronto, Ontario, CAFull-time
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Senior Manager, Data Engineering
ScotiabankToronto, ON, CAFull-time
Azure Data Engineer, Manager
PwCTorontoFull-time
Test Data Manager
CGIToronto, CanadaFull-time
Data Science Manager
DeloitteToronto, ON, ON, CAPermanent
Manager, Data Science
BMOToronto, ON, CANFull-time +1
Data Manager Lead
High Cliff Partners Inc.Toronto, ON, CAFull-time +1
Quick Apply
Manager, Data Solutions
Klick HealthToronto, Ontario, CanadaFull-time
- White Rock, BC (from $ 111,250 to $ 325,000 year)
- Maple Ridge, BC (from $ 111,500 to $ 221,343 year)
- Saint-Lambert, QC (from $ 136,250 to $ 213,584 year)
- Saint-Jean-sur-Richelieu, QC (from $ 136,250 to $ 213,584 year)
- Saint-Hubert, QC (from $ 136,250 to $ 213,584 year)
- Saint-Sauveur, QC (from $ 136,250 to $ 213,584 year)
- Saint-Laurent, QC (from $ 136,250 to $ 213,584 year)
- Salaberry-de-Valleyfield, QC (from $ 150,397 to $ 211,706 year)
- Richmond Hill, ON (from $ 88,319 to $ 205,793 year)
- Richmond, BC (from $ 81,905 to $ 205,793 year)
Manager Data Engineering
GS1 CanadaToronto, Ontario, CA26 days ago
Job type
- Full-time
- Quick Apply
Job descriptionBachelor’s degree in computer science, Engineering, or related technical discipline. 5+ years of experience in data engineering, including 2–3 years in a leadership or managerial role. Proficiency in Python, SQL, and Spark (batch and streaming). Experience developing and maintaining data lakes and cloud-based platforms (preferably Azure / Databricks). Strong background in data architecture, including data modeling (conceptual, logical, dimensional) and relational databases. Familiarity with data mesh or federated architectures for distributed data ownership. Demonstrated ability to quantify business impact of data initiatives (e.g., cost savings, reduced downtime, increased adoption). Knowledge of data governance, data quality, and master data management practices. Proven ability to mentor and develop technical talent. Hands-on experience with Agile / Scrum methodologies. Excellent communication, problem-solving, and collaboration skills with a strong delivery-focused mindset. Knowledge of orchestration tools (SSIS, ADF, DBT or equivalent). Familiarity with DevOps / DataOps practices—CI / CD, version control, automated testing for data pipelines. Exposure to streaming technologies like Kafka / Event Hubs beyond Spark Streaming. Understanding of security and compliance frameworks (PII, GDPR, SOC2, HIPAA depending on industry).
Description
The Manager, Data Engineering is responsible for developing and optimizing data platforms that power enterprise analytics and applications. Reporting to the VP of Business and Data Architecture, this role blends leadership with technical expertise—leading a team of data engineers while directly contributing to the design and delivery of scalable, high-quality data solutions. The Manager works closely with business stakeholders, architects, and cross-functional teams to ensure data is accessible, reliable, and aligned with organizational strategy.
Key Responsibilities
- Lead, mentor, and grow a team of Data Engineers, including recruitment, onboarding, performance management, and continuous skill development.
- Oversee the design, development, and optimization of data pipelines, architectures, and data sets for batch and streaming use cases.
- Collaborate with business units and analysts to gather requirements and translate them into scalable data solutions.
- Drive best practices in data modeling (conceptual, logical, and physical) to support analytics and reporting.
- Establish and maintain metadata standards, data cataloging, and lineage to improve data discovery and governance.
- Ensure timely delivery of projects by managing priorities, scope, and resources in an Agile framework.
- Partner with vendors and managed service providers as required to support delivery and operations.
- Define, track, and report on team KPIs such as data pipeline uptime, data freshness, and adoption metrics.
- Contribute to capacity planning, cloud cost optimization, and vendor performance review.
- Promote standardization and reusability of data models, pipelines, and integration approaches.
- Serve as a subject matter expert, communicating technical solutions to both technical and non-technical audiences.
- Maintain compliance with organizational standards for security, architecture, and development practices.
- Encourage experimentation with automation, AI / ML integration, and modern data engineering practices.
- Provide input into enterprise architecture and align data initiatives.
Skills, Knowledge & Expertise
GS1 Canada is committed to helping all employees, customers, stakeholders and subscribers in an effective and timely manner by preventing and removing barriers for persons with disabilities. Our policies and practices are intended to foster diversity, inclusiveness and accessibility, while also ensuring that the workplace is free from discrimination and harassment.