Senior Presales Solutions Architect, AWS

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 al