Adastra Corporation empowers global organizations to become digital leaders through innovative data, AI, and cloud solutions, enhancing operational excellence and customer experiences.
Worldwide
For over two decades, Adastra Corporation has transformed businesses into digital leaders, helping global organizations innovate, achieve operational excellence, and create unforgettable customer experiences, all with the power of their data. At the forefront of Artificial Intelligence, Data, Cloud, Digital and Governance services, Adastra delivers solutions to enterprises to leverage data that they can control and trust, connecting them to their customers – and their customers to the world. In North America, we have offices in Toronto, Calgary, Burnaby, Texas, Florida, New York City, and California. In Europe, we have offices in Frankfurt, Wolfsburg, Munich, Darmstadt, Hannover, Magdeburg, Prague, Bratislava, Vienna, Thessaloniki, Sofia, Varna and Plovdiv. We also have offices in Bangkok, Chiang Mai and Pune. More information can be found at https://adastracorp.com.
Remote · Canada
The Data Product Analyst acts as a bridge between business stakeholders and technical teams to translate business problems into actionable data science use cases. They are responsible for collecting and analyzing data, developing predictive models, and ensuring data quality while facilitating alignment across cross-functional teams.
Remote · Canada, United States
Lead technical and hands-on work to migrate or retire SAS workloads and modernize analytical processes using Python. Develop and optimize applications and automation pipelines, establish development standards, review code, manage technical risks, and collaborate with business and technical teams.
Remote · Canada, United States
The developer will migrate legacy SAS workloads to Python-based environments while supporting decommissioning and modernization initiatives. They will also build and maintain automated data pipelines and ensure the scalability and reliability of analytical solutions.
Hybrid · Markham
Lead the technical side of sales pursuits by designing end-to-end solutions, including cloud foundations, data platforms, and AI. Manage discovery workshops, build cost models, and own the technical content of proposals and RFP responses.
On-site · Markham
This is a talent pipeline opportunity for professionals to connect with Adastra for current and future roles across various technology and consulting domains. Candidates will have their profiles reviewed by the Talent Acquisition team against potential matches within the organization.
Hybrid · Markham
The AWS Support Lead will coordinate incident triage, troubleshoot production cloud infrastructure, and ensure reliable operational support for customer environments. They will also manage infrastructure changes, maintain operational documentation, and collaborate with technical specialists to resolve complex issues.
Hybrid · Markham
You will build and maintain secure, scalable AWS infrastructure using Infrastructure as Code and develop CI/CD pipelines for cloud and data workloads. Additionally, you will collaborate with architects and data engineers to support cloud modernization initiatives and operational best practices.
Hybrid · Markham
Design, develop, and maintain enterprise-scale ETL workflows using Ab Initio tools to ensure reliable data movement. Collaborate with business analysts and architects to translate requirements into high-performance data pipelines while managing metadata and production support.
Hybrid · Markham
The Inside Sales Representative manages the full sales cycle for Data, AI, Cloud, and Digital services to drive revenue growth. This includes conducting discovery calls, presenting solutions, and collaborating with internal teams to develop proposals and maintain a sales pipeline.
Hybrid · Markham
The role involves collaborating with stakeholders to analyze business processes and translate requirements into functional specifications. The analyst will develop source-to-target mappings and support the delivery of scalable technology solutions across the project lifecycle.
Hybrid · Markham
The DBA is responsible for installing, configuring, and maintaining enterprise database environments across development, staging, and production. Key duties include optimizing performance, managing security, and implementing high availability and disaster recovery strategies.
Hybrid · Toronto
The Business Systems Analyst will gather and translate business requirements into functional specifications while collaborating with cross-functional teams. They are responsible for performing data analysis, validating system quality, and supporting the delivery of scalable business initiatives.
