ZipRecruiter

Log In

1

Data Optimisation Jobs in Ontario (NOW HIRING)

Project X

Data Architect

Toronto, ON · On-site

Drive performance optimization and cost efficiency across deployments. What We're Looking For - Required Qualifications * 5+ years in data architecture or engineering, with hands-on Snowflake ...

Architech

Part Time - Data Architect

Toronto, ON · On-site

Our engineers and designers harness cloud-native tools, autonomous agents, data-driven insights, and GenAI to drive measurable impact - replatforming systems in the cloud, optimizing customer ...

Td

Data Engineer III

Toronto, ON · On-site

CA$96K - CA$136K/yr

This role will support cost transparency, allocation, forecasting, optimization, governance, and executive reporting across cloud, AI, data platforms, and broader technology consumption. The ...

Royal Bank of Canada

Staff Data Engineer

Toronto, ON · On-site

Manage Azure Databricks clusters, compute resources, and workspace optimization for scalable data processing * Optimize Power BI reporting infrastructure, semantic models, and dashboard performance ...

Omnicom

Data Analyst

Toronto, ON · Hybrid

Do you like optimizing stuff? Look no further than this data and analytics team working for one of the top automotive companies in Canada. We at TBWA look to uncover key business insights and solve ...

Arobas Personnel Inc.

Data Engineer

Mississauga, ON · On-site

Experience with SAS migration, optimization, and modernization initiatives. * Advanced SQL and data engineering expertise. Experience building scalable, high-performance data solutions. Employment ...

Ci

Manager, Data Operations

Toronto, ON · On-site

Architecture & Platform Optimization * Collaborate with data engineering and architecture team to design scalable, cost-efficient, and resilient data platform architectures. * Coordinate data ...

MCKESSON

Senior Data Specialist

Mississauga, ON · Remote

Position Summary The Senior Data Specialist provides technical leadership in designing, developing, and optimizing cloud-native data solutions on the Azure Data platform, with a primary focus on ...

McKesson

Director Data Engineering

Mississauga, ON · On-site

Ensure data platform security, compliance, and performance optimization across all environments Minimum Requirements * 12+ years experience of professional experience in related IT field with 4+ ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Position Summary The Senior Data Specialist provides technical leadership in designing, developing, and optimizing cloud-native data solutions on the Azure Data platform, with a primary focus on ...

McKesson

Director Data Engineering

Mississauga, ON · On-site

Ensure data platform security, compliance, and performance optimization across all environments Minimum Requirements * 12+ years experience of professional experience in related IT field with 4+ ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Position Summary The Senior Data Specialist provides technical leadership in designing, developing, and optimizing cloud-native data solutions on the Azure Data platform, with a primary focus on ...

MCKESSON

Director Data Engineering

Mississauga, ON · On-site

Ensure data platform security, compliance, and performance optimization across all environments Minimum Requirements * 12+ years experience of professional experience in related IT field with 4+ ...

Hire DigITalent

Data Engineering Lead

Toronto, ON · On-site

Lead the design, operation, and optimization of scalable ETL/ELT pipelines and orchestration workflows. Define and maintain data architecture, modeling standards, governance, and data lineage ...

TMX Group

Big Data Engineer

Toronto, ON · Hybrid

Process Optimization: Drive continuous internal process improvements by automating manual tasks, optimizing data delivery, and re-designing infrastructure for enhanced scalability and performance.

Mindlance

Data Engineer

Toronto, ON · Hybrid

... optimizing end-to-end real-time exception workflows. This role bridges data modeling, data product strategy, and business operations to establish a unified, asset-agnostic data ecosystem. You will ...

Fitch Solutions

Principal Data Engineer

Toronto, ON · On-site

Design and implement data solutions using PostgreSQL for relational data and MongoDB for NoSQL requirements, ensuring optimal performance and scalability. * Architect and deploy containerized data ...

previous pagenext page

Showing results 21-40

All JobsData Optimisation JobsData Optimisation Jobs in Ontario

Data Optimisation information

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What are the key skills and qualifications needed to thrive as a data optimisation specialist?

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What are the most common challenges faced in a data optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

What are data optimisation jobs?

Data optimisation jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and operational performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, with a focus on enhancing data accuracy and accessibility.

What are popular job titles related to Data Optimisation jobs in Ontario?

For Data Optimisation jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Optimisation jobs in Ontario look for?

The top searched job categories for Data Optimisation jobs in Ontario are:

Data Optimisation jobs near you
Infographic showing various Data Optimisation job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Architect

Toronto, ON • On-site

Project X
1 - 10 employees
Learn more about Project Xexternal

Full-time

Posted 7 days ago

Job description

Company: Project X Ltd.
Location: Toronto, Ontario
Employment Type: Full Time
Location: (Hybrid working model)
Total Compensation:$150,000-200,000
 About Project X Ltd.
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and Innovation, we value people who take ownership of their work, step up when needed, and get things done.Our team members are trusted advisors who collaborate closely, think creatively, and deliver practical, high-quality solutions for our clients. We look for individuals who are curious, accountable, eager to learn, and supportive of their teammates—because at Project X, our people are what make us great.
 Role SummaryAs a Solutions Architect at Project X Ltd., you will be providing our clients with your knowledge and experience in making sense of messy, unstructured data. The Data Architect will be responsible for designing, implementing, and overseeing end-to-end solutions that address designing scalable and efficient data solutions, complex business challenges, and unlocking the value of data for our clients. This role will require demonstrated expertise in Snowflake to optimize data architecture, performance, and cost efficiency in a cloud-based environment. 
 Key Responsibilities
  • Design and implement end-to-end data solutions, from strategy to deployment. 
  • Shape enterprise data strategy, architecture, and governance frameworks for our clients. 
  • Lead data migration and integration projects, using tools like Snowpipe, Streams, and Tasks. 
  • Collaborate with analytics teams to support AI/ML and advanced analytics workloads using Snowpark and Python. 
  • Build and optimize cloud data platforms on AWS, Azure, or GCP. 
  • Act as a trusted advisor to clients, facilitating workshops and bringing thought leadership on modern data architecture best practices. 
  • Drive performance optimization and cost efficiency across deployments. 
     
What We’re Looking For – Required Qualifications
  • 5+ years in data architecture or engineering, with hands-on Snowflake experience, including schema design, performance tuning, Snowflake Secure Data Sharing, cost optimization strategies, and end-to-end deployment. 
  • Proven ability to troubleshoot and resolve performance issues in Snowflake, manage virtual warehouses, implement clustering keys, and apply best practices for scaling and resource management. 
  • Deep knowledge of cloud environments (AWS, Azure, or GCP). 
  • Strong skills in SQL, Python. 
  • Experience with data modeling, integration, and governance frameworks. 
  • Familiarity with BI tools like Microstrategy, Tableau, or Power BI. 
  • Excellent communication, presentation, and stakeholder management skills, with the ability to effectively communicate technical concepts to non-technical audiences.
Nice to Have
  • SnowPro certification or other Snowflake credentials. 
  • Certifications in AWS, Azure, or GCP architecture. 
  • Passion for mentoring and helping clients make smart, data-driven decisions. 
  • Knowledge of emerging trends and technologies in data architecture, such as data mesh, event-driven architectures, and streaming analytics. 
 Use of Artificial Intelligence in RecruitmentProject X may use automated or AI-enabled tools as part of the recruitment and selection process. These tools may support activities such as resume screening, candidate matching, or application management. All hiring decisions involve human review and judgment.Employment Equity, Accessibility & AccommodationsProject X is committed to fostering an inclusive, accessible workplace. Accommodations are available upon request in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code.Privacy NoticePersonal information collected during the recruitment process will be used solely for recruitment purposes and handled in accordance with applicable privacy legislation.How to ApplyPlease apply with your resume and cover letter.
 

Powered by JazzHR

EdOpg9xnXW