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Added 14 mins ago
Senior Software Development Engineer in Test (SDET)
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We are looking for a Senior Software Development Engineer in Test to join our team and help develop our open-source and proprietary platform products.
Added 14 mins ago
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Added 1 hour ago
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Senior Presales Solutions Architect, AWS
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AWS certifications such as Solutions Architect – Professional, Data Engineer – Associate.
Added 1 hour ago
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Adastra Corporation

Senior Presales Solutions Architect, AWS

175 Commerce Valley Dr. W, Markham, ON, L3T 7P6, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 3, 2027
Posting language: English
Posted: Nov 4, 2026

Original job description

Overview

Adastra Canada is looking for a senior technologist to be the firm's AWS champion inside the Presales team. This is a customer-facing role for someone who has spent years building on AWS, has real delivery experience across the AWS data and analytics stack, and can walk into a discovery session with a prospective client's data leadership and leave with a credible, costed solution on the table.

The role owns the technical quality of every AWS-centered pursuit we run, and it is equally the technical face of our relationship with AWS - supporting co-sell, maintaining our Partner Network standing and competencies, and raising the firm's profile in the Canadian AWS community.

Primary Location: Toronto, ON

Work Model: Hybrid 3-Days Onsite

Employment Type: Permanent Full-Time

Vacancy Status: New

Compensation Range: $120,000 to 170,000 plus bonus

RESPONSIBILITIES

Presales Solution Leadership on AWS

Act as the lead technical voice on AWS opportunities from qualification through to signature, working alongside sales, alliances, and delivery leadership.
Run discovery and requirements workshops with client architects, data leaders, and business stakeholders, then translate what you hear into a defensible target architecture.
Design AWS solutions end to end - landing zones and Control Tower, VPC and identity patterns, data platform services, integration, security, and governance - and defend the design under client and third-party scrutiny.
Produce cost models and sizing estimates that hold up after the deal closes, including Savings Plans, Reserved Instances, and other commitment options.
Own the technical response of RFP, RFI, and proposal responses, and lead demonstrations, technical deep dives, and proofs of concept.
Apply the AWS Well-Architected Framework in pursuit work, including running Well-Architected reviews and migration readiness assessments for clients.

AWS Data, Analytics and AI Platform

Serve as the firm's reference point on the AWS data stack - Redshift, S3-based lakehouse patterns with Glue and Lake Formation, Athena, EMR, Kinesis and MSK, and Amazon DataZone - including where each service is the right answer and where it is not.
Advise clients on migration and modernization paths from on-premises warehouses, Oracle and SQL Server estates, and legacy Hadoop platforms onto AWS, including Aurora, RDS, DynamoDB, and Databricks on AWS.
Position data governance, cataloguing, and quality across the AWS estate, and design capacity, workload isolation, and cost-management models that keep analytics spend predictable.
Act as the presales authority on applied AI: Amazon Bedrock, SageMaker, Amazon Q, retrieval-augmented generation and agentic patterns.
Keep the firm's AI point of view current as the AWS platform changes, and feed what you learn back into offerings, pricing, and delivery methodology.

AWS Alliance and Partner Relationship Development

Work with the alliances team as the technical counterpart to AWS partner development managers, specialist solutions architects, and account teams across Canada.
Drive co-sell motions: qualify joint opportunities, prepare the technical material AWS sellers need, register and progress deals through APN and AWS Marketplace, and pursue funding programs such as MAP and POA.
Represent Adastra in AWS partner forums, technical briefings, and immersion days, and channel AWS incentives and assessment funding into client engagements.

QUALIFICATIONS, SKILLS & EXPERIENCE

Eight or more years in data, analytics, or cloud consulting, including at least four in a customer-facing presales, solution architecture, or technical sales role.
Deep hands-on AWS experience across IAM, VPC networking, storage, compute, security, and governance, with the ability to design and cost a multi-account landing zone without help.
Strong command of the AWS data estate: Redshift, Glue and Lake Formation, Athena, EMR, streaming services, and Aurora or RDS, backed by delivery experience rather than product briefings.
Demonstrated experience designing and positioning AI solutions on AWS, including generative AI patterns on Bedrock or SageMaker and the guardrails that make them acceptable to enterprise risk teams.
A track record of leading the technical side of competitive pursuits, from qualification through proposal.
Exceptional communication skills, with the range to move from a CIO conversation about business outcomes to a whiteboard session with engineers.
Eligibility to work in Canada and willingness to travel occasionally within North America for client meetings and AWS events.
A collaborative working style across the firm: able to partner with the delivery practices to pull the right expertise into pursuit, and to work with sales, alliances, and executive leadership on qualification, pricing, and go-to-market decisions.

NICE TO HAVE

Prior experience inside an AWS partner or at AWS itself, with working knowledge of co-sell, the APN partner program, and AWS Marketplace.
Industry depth in financial services, insurance, retail, healthcare, or the public sector.
Working familiarity with competing platforms such as Azure, Google Cloud, Snowflake, or Microsoft Fabric, and the ability to argue the trade-offs fairly.
AWS certifications such as Solutions Architect – Professional, Data Engineer – Associate.

ABOUT ADASTRA

Adastra is a global leader in AI and data-driven transformation, helping organizations lead with artificial intelligence - responsibly, strategically, and at scale. With over 25 years of experience, Adastra empowers enterprise clients to unlock business value through data innovation, operational excellence, and smart customer engagement.

Trusted by some of the world’s most prominent brands, Adastra delivers end-to-end solutions grounded in thoughtful strategy, robust governance, and deep technical expertise. From defining vision to ensuring execution, Adastra guides organizations through every stage of their AI, data and cloud journey - building future-ready capabilities and delivering measurable, lasting impact.

Adastra serves clients across key industries including financial services, automotive, manufacturing, technology, media and telecom (TMT), healthcare, retail, and professional services. The company employs more than 2,000 professionals across North America, Europe, and Asia.

WHAT WE OFFER

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

EQUAL OPPORTUNITY EMPLOYER

In our commitment to promote fair and equitable treatment of all employees and applicants, Adastra Corporation provides equal employment opportunities for all individuals regardless of age, sex, disability, race, ethnic origin, citizenship, creed, sexual orientation, marital status, or any other ground as described in the Ontario Human Rights Code. In addition, accommodation will be provided during the hiring process. Adastra Corporation’s implementation and support of employment initiatives, encourage diversified labour force participation and equal access to opportunities based on merit and performance.

AI Usage - Our hiring process includes the use of AI-enabled tools to screen applications (e.g., keyword matching, qualification ranking). A human recruiter reviews all AI-generated shortlists to make informed hiring decisions.

There has been an increased instance of fraudulent job offers coming from people posing as Adastra HR employees. Please note that Adastra will never request fees as part of our recruiting process and any emails sent to you that are not from ‘@adastragrp.com’ or ‘@talent.icims.com’ are fraudulent. All employment offers are sent via DocuSign and if you receive an employment offer from a suspicious email and not via DocuSign, it is fraudulent.

Contact careers@adastragrp.com to inquire about jobs at Adastra, to report a suspicious request for money or personal information from external websites or suspicious employment offers.

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More about this job

Responsibilities

Lead the technical side of AWS presales pursuits, from client discovery and solution architecture through cost modeling, proposals, demonstrations, and proofs of concept. Develop Adastra’s AWS data, analytics, and AI offerings while supporting AWS alliance activities, co-selling, partner programs, and client engagements.

Requirements

Requires at least eight years of data, analytics, or cloud consulting experience, including four years in customer-facing presales, solution architecture, or technical sales, plus deep hands-on AWS expertise. Candidates should have delivery experience with AWS data services and applied AI, strong pursuit leadership and communication skills, eligibility to work in Canada, and willingness to travel occasionally.

Skills

AWS Solution Architecture
Presales Leadership
AWS Data and Analytics
AWS Well-Architected Framework
Cloud Cost Modeling
AWS Landing Zones
Data Governance
Generative AI
Amazon Bedrock
Amazon SageMaker
RFP and Proposal Development
Client Discovery Workshops
AWS Partner Network
Co-Selling
Cloud Migration and Modernization
Stakeholder Communication

Benefits

Competitive Compensation
Comprehensive Benefits Plan
Referral Program
Career Advancement Opportunities
Flexible and Diverse Workplace

Visa sponsorship

Not detected in the job text

Keywords

AWS
Amazon Redshift
Amazon S3
AWS Glue
AWS Lake Formation
Amazon Athena
Amazon EMR
Amazon Kinesis
Amazon MSK
Amazon DataZone
Amazon Aurora
Amazon RDS
Amazon DynamoDB
Databricks on AWS
Amazon Bedrock
Amazon SageMaker
Amazon Q
Retrieval-Augmented Generation
Agentic AI
AWS Control Tower
IAM
VPC
AWS Well-Architected Framework
AWS Partner Network
AWS Marketplace
Migration Acceleration Program
Proofs of Concept
RFP
Reserved Instances
Savings Plans

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