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Data Optimisation Jobs in Ontario (NOW HIRING)

The Data Scientist also participates in data science practices and capability development at OTPP ... Develop and apply machine learning, statistical modelling, and mathematical optimization techniques ...

You'll work closely with a specific part of the business, playing a crucial role in optimizing our ... As Data Scientists at Stripe, it's our mission to ensure that the company strategy, products, and ...

Develop predictive and optimization solutions. You will design, develop, and refine algorithms that ... Turn data into actionable insights. You will analyze large-scale datasets spanning business ...

Data Engineer

Toronto, ON · On-site

CA$85K - CA$135K/yr

This role requires strong ownership in developing data pipelines, optimizing infrastructure, and ensuring high standards of data quality, governance, and performance. The ideal candidate brings deep ...

Ensure pipelines are optimized for performance, scalability, and reliability. 2. Data Modeling & Engineering Design * Design data models aligned with business and analytical requirements * Develop ...

You will be in a critical position driving data-driven decision-making, optimizing business performance, and shaping the strategic direction of the gaming brands role within the company! Requirements

Define data modeling strategies, logical and physical designs, and schema optimization approaches. * Design advanced Snowflake features including clustering strategies, data sharing, security models ...

Optimization and Scalability: Monitor, optimize, and scale data infrastructure and applications to improve performance, reduce costs, and accommodate growing data volumes. Collaboration and Support:

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 ...

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+ ...

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

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+ ...

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Data Optimisation information

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.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and many successful data scientists start or transition into the role later in their careers. Skills in programming, statistics, and tools like Python or R are more important than age, and continuous learning can help overcome any age-related concerns.

What are the key skills and qualifications needed to thrive as a Data Optimisation Specialist, and why are they important?

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 is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in data management, analytics, and programming, along with leadership responsibilities.

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 data optimization jobs?

Data optimization jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and system performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, and may include tasks such as data cleaning, indexing, and implementing data storage strategies.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI currently cannot fully replicate.

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 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:
Infographic showing various Data Optimisation job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.
Data Platform Marketing Manager - SELECT by DoiT

Data Platform Marketing Manager - SELECT by DoiT

DoiT

Cannington, ON • Remote

Full-time

Medical, PTO

Posted 25 days ago


Job description

Location
Our Data Platform Marketing Manager - SELECT by DoiT, will be an integral part of our global Marketing team. This role is based remotely on the East Coast of the US, in the Central US, or in Canada.

Who We Are
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production.

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

The Opportunity
The Data Platform Marketing Manager - SELECT by DoiT, reporting to VP, Global Marketing, is the strategic marketing leader responsible for driving growth, pipeline, and market positioning for DoiT's data lake and Snowflake optimization business.

This role is not simply a coordinator of campaigns. It is the centralized marketing owner of the business unit's go-to-market strategy.

You will partner directly with the Business Unit Head of Sales, Product leadership, and Marketing functional heads to define priorities, sharpen ICP focus, shape economic messaging, and orchestrate integrated programs that position SELECT and data workload optimization as mission-critical for modern cloud and data teams.

This role sits at the intersection of:

  • Snowflake & Databricks optimization
  • Data lake cost governance
  • Performance and cost efficiency for enterprise data workloads

You are accountable for turning strategy into measurable revenue impact.

Read more about SELECT.

Responsibilities

1. Business Unit GTM Strategy & Centralization

  • Serve as the primary marketing lead for the SELECT / Data Platform business unit
  • Translate revenue targets and expansion goals into a unified quarterly marketing strategy
  • Define ICP segmentation across Snowflake customers, enterprise data teams, and cloud data platform operators
  • Centralize campaign prioritization across Growth, Content, BDR/MDR, and Creative
  • Ensure SELECT positioning is clearly differentiated in the data optimization market

You are responsible for ensuring the business unit has focus, clarity, and a defined market story.

2. Integrated Campaign Strategy & Execution

Lead and direct cross-functional execution across:

Growth and Digital

  • Paid search around Snowflake optimization
  • LinkedIn targeting for data engineering and FinOps leaders
  • Retargeting strategies tied to data workload interest
  • SDR campaign enablement and follow-up strategy

Content

  • Data platform optimization guides
  • Data lake cost efficiency playbooks
  • Case studies showing measurable cost reduction outcomes
  • Economic value narratives tied to cost savings

Creative

  • Campaign themes for data optimization
  • Visual positioning aligned to enterprise data workloads

Develop and manage strategic campaign briefs that align messaging, audience, and economic value.

3. Data Workload Demand Generation

Own the strategy and execution of programs that drive awareness and pipeline within the data ecosystem:

  • Data Platform digital campaigns
  • Data platform optimization webinars
  • Executive roundtables for data and FinOps leaders
  • Campaign landing pages tied to measurable cost outcomes
  • Content programs built around "data platform optimization"

Drive performance against:

  • Marketing sourced pipeline
  • Customer expansion
  • Cost per qualified meeting
  • Pipeline velocity

4. Webinar & Thought Leadership Strategy

Move beyond one-off webinars and build a repeatable data workload narrative:

  • Develop quarterly thought leadership themes around data efficiency
  • Position SELECT as the intelligent optimization layer for Snowflake and additional data platforms
  • Align with Product and BU Sales to highlight roadmap and innovation
  • Ensure conversion from registrant to opportunity is structured and measurable

5. Performance & Revenue Accountability

Partner with Content, Growth, Sales, and RevOps to create visibility into:

  • Cost per lead and cost per meeting
  • Conversion to opportunity
  • Pipeline contributionInfluenced revenue
  • Continuously refine programs based on performance data and economic outcomes.

This role thinks in revenue impact, not campaign volume.

What Success Looks Like

  • A clearly articulated quarterly GTM strategy for SELECT
  • Centralized prioritization of marketing initiatives aligned to revenue
  • Measurable growth in Snowflake-focused pipeline
  • Clear differentiation in the data optimization market
  • Strong alignment with BU Sales and Product leadership
  • Demonstrated contribution to expansion and net new pipeline

Qualifications

  • 3 to 5 years in B2B marketing, demand generation, or product marketing
  • Experience marketing to data engineering, data platform, or FinOps audiences
  • Familiarity with Snowflake, data lakes, or cloud data workloads
  • Strong strategic planning capability combined with hands-on execution
  • Demonstrated success driving pipeline growth in a technical B2B environment
  • Experience partnering closely with sales leadership

Ideal Profile

  • Thinks in terms of revenue, expansion, and economic value
  • Understands enterprise data teams and cloud cost pressures
  • Comfortable owning a business unit narrative
  • Can centralize and prioritize across competing marketing inputs
  • Moves fluidly between strategy and execution
  • Data-driven and outcome-oriented

Are you a Do'er?
Be your truest self. Work on your terms. Make a difference.

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.

What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values.

Sounds too good to be true? Check out our Glassdoor Page.

We thought so too, but we're here and happy we hit that 'apply' button.

Full-time employee benefits include:

  • Unlimited Vacation
  • Flexible Working Options
  • Health Insurance
  • Parental Leave
  • Employee Stock Option Plan
  • Home Office Allowance
  • Professional Development Stipend
  • Peer Recognition Program

Many Do'ers, One Team
DoiT unites as Many Do'ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

#LI-Remote


Do-It logo

About Do-It

Sourced by ZipRecruiter

Industry

Plastics packaging film and sheet (including laminated) manufacturing

Company size

51 - 200 Employees

Headquarters location

South Haven, MI, US

Year founded

1973

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