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Forward Deployed Engineer, Data Engineering & Architecture

  • Toronto, ON, Canada
  • Support Centre - Toronto Office, Canada

Full-time

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Job details

Job type
Full-time
Experience
8+ years of progressive experience across technology, process improvement, automation, digital transformation, data products, business systems, or related disciplines.
Posting language
English
Posted

Original job description

The Opportunity 

The Forward Deployed Engineer, Data Engineering & Architecture works directly with business and technology teams to identify operational challenges and turn them into scalable, data-driven solutions. 

The role focuses on process improvement, automation, and data product development, taking opportunities from discovery through implementation and ongoing evolution. You will simplify and automate business processes, rapidly demonstrate value, and lead successful solutions into reusable data products that can scale across the organisation. 


Who You Are 

You are a problem solver who thrives where business processes, data, and technology intersect. You can quickly understand how a business process operates, identify inefficiencies, and translate those opportunities into practical solutions.

You bring strong analytical thinking and a product mindset. Rather than treating each automation as a one-time project, you look for opportunities to create reusable capabilities and data products that solve broader business problems and continue to deliver value over time. 


In This Role, You Will 

Process Discovery & Automation 

  • Partner directly with business teams to understand processes, pain points, manual activities, and opportunities for improvement. 
  • Map current-state processes and identify opportunities to simplify, standardise, automate, or eliminate unnecessary work. 
  • Translate business needs into clearly defined opportunities with measurable outcomes. 
  • Rapidly develop and implement automation solutions that reduce manual effort, improve efficiency, and increase process reliability. 

Data Product Ownership & Development 

  • Lead successful automations through their evolution into scalable, reusable data products. 
  • Define the vision, requirements, roadmap, and priorities for data products within your area of ownership. 
  • Ensure products have clear ownership, defined consumers, measurable outcomes, documentation, and operational support. 
  • Maintain and prioritise a product backlog based on business value, adoption, feedback, and opportunities for expansion. 
  • Continuously improve products based on real-world usage and evolving business requirements. 

Business & Technology Partnership 

  • Work directly with stakeholders to understand desired outcomes and prioritise opportunities based on value, effort, complexity, and scalability. 
  • Lead initiatives from initial discovery and proof of value through implementation, adoption, and product evolution. 
  • Communicate solution options, dependencies, risks, and trade-offs in clear business terms. 
  • Drive adoption and ensure delivered products are solving the intended business problem. 

Continuous Improvement & Scale 

  • Identify patterns across individual automation opportunities that can be addressed through shared data products and reusable capabilities. 
  • Help establish repeatable approaches for discovering, evaluating, prioritising, and scaling automation opportunities. 
  • Explore emerging technologies, including AI and intelligent automation, where they can meaningfully improve processes or products. 
  • Measure the effectiveness and adoption of delivered solutions and identify opportunities for continued improvement. 

What You'll Bring 

  • 8+ years of progressive experience across technology, process improvement, automation, digital transformation, data products, business systems, or related disciplines. 
  • Strong experience analysing workflows and identifying opportunities for process improvement and automation. 
  • Demonstrated experience owning or leading technology, automation, or data products through their lifecycle. 
  • Ability to translate successful prototypes or point solutions into scalable, reusable capabilities. 
  • Strong analytical and problem-solving skills with the ability to bring structure to ambiguous problems. 
  • Experience managing and prioritising requirements or backlogs based on business value and user needs. 
  • Experience coordinating delivery across multiple business and technology teams. 
  • Understanding of modern data, cloud, integration, automation, and software delivery concepts. 
  • Strong communication skills with the ability to work effectively across technical and non-technical audiences. 
  • A strong bias toward action, experimentation, measurable outcomes, and continuous improvement. 

Considered an Asset 

  • Experience building or managing enterprise data products. 
  • Experience with workflow automation and low-code/no-code platforms. 
  • Experience applying AI, generative AI, or intelligent automation to business processes. 
  • Experience with modern cloud data platforms such as Snowflake and cloud environments such as AWS. 
  • Experience with enterprise applications, APIs, integrations, and workflow platforms. 
  • Experience with process-mapping, Lean, or other continuous-improvement methodologies. 
  • Experience within healthcare, multi-site operations, or another complex enterprise environment. 

Why Dentalcorp?

Dentalcorp is North America’s leading and fastest-growing network of dental practices. Through industry-leading technology, expertise, and scale, we help practices grow while supporting dental professionals to retain their clinical autonomy. Here, you’ll be trusted with meaningful responsibility, supported to grow, and surrounded by people who share ideas and raise the bar together. Our Beyond Brilliant values - Beyond the Status Quo, Beyond Excellence, Brilliant Together, and Brilliant Experiences - guide how we innovate, collaborate, deliver, and put people at the centre.


The salary range for this position is $130,000 CAD to $150,000 CAD annually (plus a bonus of up to 15% and competitive total rewards and benefits package). Offers within this range are determined based on relevant experience, skills, and qualifications, as well as internal equity considerations. This job posting is for a newly created position.


You will be based at our Toronto Support Centre, located at 181 Bay Street in the heart of Toronto’s financial district. This position will be on site from Monday to Thursday, with Fridays designated as work-from-home days.


Candidates must be legally eligible to work in Canada. At Dentalcorp, we recognize that inclusivity and diversity strengthen our culture and make us better. We are committed to ensuring that the talent we hire is reflective of the diverse communities and patients we serve. To ensure equal opportunity for all candidates, we strongly encourage applicants requiring an accommodation to let their recruiter know during the recruitment/selection process. We appreciate all applicants for taking the time to apply, however, only those selected for an interview will be contacted.

More about this job

Responsibilities

The role involves partnering with business teams to identify operational inefficiencies and developing scalable, data-driven automation solutions. You will lead the lifecycle of data products from discovery through implementation, ensuring they provide measurable value and reusable capabilities across the organization.

Requirements

Candidates must have 8+ years of progressive experience in technology, process improvement, or data product management. Strong analytical skills and the ability to translate complex business needs into scalable technical solutions are essential.

Skills

  • Data engineering
  • Process improvement
  • Automation
  • Data product development
  • Analytical thinking
  • Product management
  • Workflow analysis
  • Cloud platforms
  • Software delivery
  • Stakeholder management
  • Snowflake
  • AWS
  • API integration
  • Lean methodology
  • Intelligent automation
  • Generative AI

Benefits

  • Bonus

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Engineering
  • Healthcare

Keywords

  • Data Engineering
  • Architecture
  • Automation
  • Process Improvement
  • Data Products
  • Digital Transformation
  • Snowflake
  • AWS
  • Cloud Platforms
  • API
  • Integrations
  • Lean
  • Generative AI
  • Intelligent Automation
  • Product Backlog
  • Workflow Automation
  • Low-code
  • No-code
  • Scalability
  • Business Systems
  • Data Architecture
  • Stakeholder Management
  • Project Management
  • Operational Efficiency
  • Continuous Improvement
  • Enterprise Data
  • Software Delivery
  • Analytical Thinking
  • Product Mindset
  • Healthcare

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