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Adastra

Data, cloud, and AI consulting

Principal Presales Solutions Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeMontreal, QC, Canada$180k - $200k

About the Job

Requirements

  • Eight or more years in enterprise technology, data, or cloud consulting, including at least four years in presales, solution architecture, or technical sales.
  • Architecture breadth across cloud infrastructure, applications and integration, and data and analytics sufficient to own the whole solution.
  • Deep hands-on experience with at least two of Azure, AWS, Databricks, and Snowflake, and working fluency with the others.
  • Experience designing and positioning AI solutions, including generative AI patterns and enterprise risk guardrails.
  • A track record of leading competitive pursuits from qualification through proposal on six-figure and larger engagements.
  • Eligibility to work in Canada.
  • Willingness to travel occasionally within North America.

Responsibilities

  • Lead the technical side of opportunities from qualification to signature alongside sales, alliances, and delivery.
  • Run discovery workshops with client architects, technology leaders, and business stakeholders, and turn findings into a defensible target architecture.
  • Design end-to-end solutions across cloud foundations, applications and integration, data, analytics and AI, security, and governance; lead platform selection based on trade-offs.
  • Build cost models and sizing estimates, including licensing, consumption, and commitment options.
  • Own technical content for RFP and proposal responses, and lead demonstrations, deep dives, and proofs of concept.
  • Design cloud foundations, including landing zones, multi-account or multi-subscription design, identity, networking, security, and cost management on Azure, AWS, or both.
  • Design and advise on Microsoft data technologies including Fabric, Azure SQL, Synapse-era estates, Purview, and Power BI.
  • Design and advise on AWS technologies including Redshift, S3 lakehouse patterns with Glue and Lake Formation, Athena, EMR, Kinesis and MSK, and Aurora, RDS, or DynamoDB.
  • Design lakehouse architectures using Databricks across clouds, including Delta Lake, Unity Catalog, Delta Live Tables, cost, and workload isolation.
  • Advise on Snowflake warehouse sizing and cost control, Snowpark, data sharing, and Horizon governance.
  • Work with open table formats such as Delta and Iceberg, dbt, streaming and CDC patterns, and migrations from legacy applications, Oracle and SQL Server, warehouses, and Hadoop.
  • Design applications and integration architectures, including API and event-driven design, microservices and containers, middleware modernization, DevOps, and infrastructure as code.
  • Act as the presales authority on applied AI technologies including Azure OpenAI and AI Foundry, Amazon Bedrock and SageMaker, Databricks Mosaic AI, Snowflake Cortex, and classical machine learning.
  • Design RAG and agentic solutions, distinguish viable opportunities from expensive experiments, and build business cases using realistic assumptions about data readiness, effort, and running cost.
  • Incorporate responsible AI, security, and data residency controls into designs and explain them to risk and compliance stakeholders.

Desired Qualifications

  • Prior experience at a consulting partner or platform vendor, with working knowledge of co-sell, partner programs, and cloud marketplaces.
  • Industry depth in financial services, insurance, retail, healthcare, or the public sector.
  • Professional proficiency in French.
  • Certifications across more than one vendor, such as Azure Solutions Architect Expert, AWS Solutions Architect Professional, Databricks Data Engineer Professional, or SnowPro Advanced.

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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