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Adastra

Data, cloud, and AI consulting

Senior Presales Solutions Architect - AWS

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, Canada

About the Job

Requirements

  • Eight or more years of experience in data, analytics, or cloud consulting, including at least four years in customer-facing presales, solution architecture, or technical sales.
  • Deep hands-on AWS experience across IAM, VPC networking, storage, compute, security, and governance, including independently designing and costing a multi-account landing zone.
  • Strong command of the AWS data estate, including Redshift, Glue, Lake Formation, Athena, EMR, streaming services, and Aurora or RDS, supported by delivery experience.
  • Demonstrated experience designing and positioning AI solutions on AWS, including generative AI patterns on Bedrock or SageMaker and enterprise risk guardrails.
  • A track record of leading the technical side of competitive pursuits from qualification through proposal.
  • Eligibility to work in Canada and willingness to travel occasionally within North America for client meetings and AWS events.
  • Ability to partner across delivery practices and work with sales, alliances, and executive leadership on qualification, pricing, and go-to-market decisions.

Responsibilities

  • Act as the lead technical voice on AWS opportunities from qualification through signature, alongside sales, alliances, and delivery leadership.
  • Run discovery and requirements workshops with client architects, data leaders, and business stakeholders, and translate findings into a defensible target architecture.
  • Design end-to-end AWS solutions covering landing zones and Control Tower, VPC and identity patterns, data platform services, integration, security, and governance, and defend the designs under scrutiny.
  • Produce cost models and sizing estimates, including Savings Plans, Reserved Instances, and other commitment options.
  • Own technical responses to RFPs, RFIs, and proposals, 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.
  • Serve as the firm's reference point on the AWS data stack, including Redshift, S3 lakehouse patterns with Glue and Lake Formation, Athena, EMR, Kinesis and MSK, and Amazon DataZone, advising on service selection.
  • Advise clients on migration and modernization from on-premises warehouses, Oracle and SQL Server estates, and legacy Hadoop platforms to AWS, including Aurora, RDS, DynamoDB, and Databricks on AWS.
  • Position data governance, cataloguing, and quality across AWS estates, and design capacity, workload-isolation, and cost-management models for predictable analytics spending.
  • Act as the presales authority on applied AI, including Amazon Bedrock, SageMaker, Amazon Q, retrieval-augmented generation, and agentic patterns.
  • Keep the firm's AI point of view current as AWS evolves and feed findings into offerings, pricing, and delivery methodology.
  • Work with the alliances team as technical counterpart to AWS partner development managers, specialist solutions architects, and account teams across Canada.
  • Drive co-sell motions by qualifying joint opportunities, preparing technical materials for AWS sellers, registering and progressing deals through APN and AWS Marketplace, and pursuing MAP and POA funding programs.
  • Represent Adastra in AWS partner forums, technical briefings, and immersion days, and channel AWS incentives and assessment funding into client engagements.

Desired Qualifications

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

About the Company

Adastra

Data, cloud, and AI consulting

Adastra is a data and digital transformation consultancy. It helps organizations design, build, migrate, govern, and operate data, analytics, cloud, artificial intelligence, and software solutions. Its clients include enterprises and public organizations modernizing information platforms and data-driven business processes. The consultancy delivers through multidisciplinary teams spanning strategy, architecture, engineering, governance, implementation, quality, project management, and managed support. Work spans data engineering, cloud, analytics, AI, governance, software, consulting, and project delivery.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Bangkok, Thailand
Founded
2018

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