AWS Solution Architect / Sales Engineer

The following responsibilities reflect a wide range of Customer Facing skills and Data & Analytics expertise. Pre-Sales Support:

• Support Sales team in developing and delivering customer presentations related to Data & AI services/solutions that align to our clients’ strategies/objectives
• Lead and present at webinars as a Subject Matter Expert
• Identify current and future customer opportunities by establishing personal rapport with potential and existing customers
• Develop proposals for implementation and design of scalable Data & AI solutions
• Prepare cost estimates by understanding customer requirements, consulting with respective company practices, and partnering with the Sales team
• Maintain knowledge/currency around the Data & AI landscape (products/services/key players)

Solution Architecture & Technical Leadership:

• Understand business process and refine business requirements with stakeholders
• Analyze current state and identify/document gaps between current state and requirements
• Define future state solution architecture
• Meet solution security and availability requirements with architectural designs
• Define future state data architecture/models
• Develop roadmaps and implementation strategy around data science initiatives including recommendation engines, predictive modeling, and machine learning
• Define high level steps/plan/resources to achieve future state
• Complete customer required specs, for requirements, architecture, and design, to garner solution approval across all stakeholders
• Define governance processes to facilitate effective adoption and maintenance of solutions
• Establish best practices to ensure solutions are developed, implemented, and maintained with the best, consistent approach
• Manage team through solution development and delivery
• Communicate with stakeholders around progress and challenges
• Manage issues effectively as they occur during the solution life cycle
• Investigate/resolve complex challenges blocking developer progression
• Maintain a “trusted advisor” role with stakeholders
• Estimate software/service pricing related to solution design, SherlockTalent is committed to protecting and respecting your privacy. We’ll only store and use your personal information to administer your account and to provide you with information by email and SMS related to your account, job search, and career. Referral Source Submit Copyright © 2026 SherlockTalent | Designed by Josh Piller | Maintained by We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies. . Manage consent Close Privacy Overview This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt out of these cookies. But opting out of some of these cookies may affect your browsing experience. Necessary Always Enabled Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensure the basic functionalities and security features of the website. These cookies do not store any personal information. Non-necessary Any cookies that may not be particularly necessary for the website to function and are explicitly used to collect user personal data via analytics, ads, and other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.

• AWS Data platform skillset (Senior) - over 10 years of experience in Data Analytics
• Familiarity with AWS, S3, Redshift, Amazon SageMaker, Lambda, building ETL pipelines
• Experience in designing and developing solutions that cover the end-to-end Data & Analytics value chain: Acquisition, Landing, Storage, Security, Cleansing/Enrichment, Mastering, Integration, Visualization and Advanced Analytics
• Deep expertise with hyper-scale cloud Data & AI platforms and tooling including Azure, AWS or GCP
• Experience in leading large-scale implementation projects
• Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Computer Vision)
• Technical team leadership/management experience
• Understanding of Agile (Scrum)
• Solid knowledge of design patterns, refactoring concepts, unit testing, DevOps, and CI/CD

Required Education & Skills:

• Bachelor’s degree, or equivalent in Software Engineering, Computer Science or closely related field
• Fluent oral and written English
• Strong customer communication skills
• Ability/desire to stay abreast of latest technology developments
• Exceptional problem solving and analytical skills
• Self-motivated and eager to continue learning

What We Offer

• Opportunity for advancement and career progression
• Competitive compensation package
• Comprehensive benefits plan
• Successful referral program
• A flexible and dynamic workplace
• The opportunity to work with one of Canada’s 50 Best Managed Companies
• Satisfaction of working for a reputable company