We are looking for a hands-on BI Platform Operations Engineer to support the reliability and day-to-day operation of enterprise BI platforms, with a focus on Tableau Server, Amazon Quick

Sight / Quick Suite, and a BI-as-a-Service platform built on Amazon Quick

Sight.

In this role, you will provide platform administration, production support, and technical troubleshooting across BI solutions, AWS services, APIs, data services, and cloud infrastructure.

You will investigate and resolve production issues, monitor platform health, and help ensure stable and reliable BI services.

The role combines BI platform administration, production support, and cloud troubleshooting, working closely with engineering, application, data, and infrastructure teams to resolve incidents, automate operational activities, and drive continuous improvements across the platform.

Primary Location: Toronto, ON or New York City, NYWork Model: Hybrid 4-Days Onsite

Employment Type: ContractorRESPONSIBILITIES:Provide day-to-day production support for Tableau Server, Amazon Quick

Sight / Quick Suite, the BI-as-a-Service platform, and supporting AWS services

Monitor platform availability, performance, capacity, scheduled workloads, and overall service health

Investigate production incidents, failed jobs, connectivity issues, access problems, API failures, and platform errors

Perform root-cause analysis and collaborate with engineering, application, data, and infrastructure teams on sustainable solutions

Support incident, problem, release, and change-management activities

Develop and maintain operational runbooks, troubleshooting procedures, and support documentation

Identify opportunities to automate repetitive operational and administrative activities

Administer Tableau Server infrastructure, configuration, sites, projects, users, groups, permissions, and content access

Troubleshoot Tableau extracts, refresh schedules, authentication, data-source connectivity, performance, and resource utilization

Support Tableau Server upgrades, patching, migrations, configuration changes, and platform maintenance

Administer and troubleshoot Amazon Quick

Sight / Quick Suite analyses, dashboards, datasets, data sources, themes, folders, templates, and related assets

Support Quick

Sight authors with visualization, dataset, data-source, dashboard, and semantic configuration issues

Troubleshoot SPICE ingestion, dataset refreshes, direct-query scenarios, dashboard publishing, sharing, ownership, and access

Manage and troubleshoot Quick

Sight users, groups, namespaces, folders, permissions, and access controls

Support programmatic management of Quick

Sight assets and permissions using Quick

Sight APIs and AWS SDKsTroubleshoot embedded Quick

Sight, authentication, authorization, and asset-provisioning workflows

Support Amazon Q Topics and other conversational or generative BI capabilities within Quick

Sight / Quick Suite

Troubleshoot integrations across Quick

Sight, Athena, AWS Glue Data Catalog, Lake Formation, S3, and IAMSupport AWS Lambda functions, Amazon API Gateway endpoints, and RESTful API integrations used by the BI platform

Use Amazon Cloud

Watch logs, metrics, dashboards, and alarms to identify and resolve production issues





Correlate application and AWS service logs to diagnose failures across multiple technology layers

Assist with deployments, configuration changes, environment maintenance, and production releases

Improve platform monitoring, alerting, reliability, supportability, and operational readinessQUALIFICATIONS, SKILLS & EXPERIENCE:Hands-on experience supporting enterprise BI platforms in production environments

Solid experience with Tableau Server administration and operational support

Robust hands-on experience with Amazon Quick

Sight administration, authoring, and production support

Experience supporting Quick

Sight analyses, dashboards, datasets, data sources, themes, folders, templates, permissions, and related assets

Experience troubleshooting SPICE ingestion, scheduled refreshes, direct queries, data-source connectivity, publishing, sharing, and access issues

Experience using Quick

Sight APIs or AWS SDKs to manage BI assets and permissions programmatically

Working knowledge of Amazon Athena and experience troubleshooting Athena-based BI workloads

Working knowledge of AWS Glue Data Catalog databases, tables, schemas, partitions, and metadata

Understanding of AWS Lake Formation permissions and data-access controls

Experience supporting and troubleshooting AWS Lambda functions

Experience with Amazon API Gateway, Lambda integrations, and RESTful APIsStrong understanding of REST API methods, headers, payloads, authentication, authorization, and error handling

Hands-on experience with Amazon Cloud

Watch logs, metrics, dashboards, and alarms

Strong understanding of AWS IAM roles, policies, permissions, and service-to-service access

Experience troubleshooting infrastructure, data connectivity, authentication, authorization, permissions, and performance issues

Ability to analyze application, server, API, Lambda, and AWS service logs

Experience with production incident management, problem management, and root-cause analysis

Experience with scripting or automation using Python, Power

Shell, Bash, AWS CLI, or similar technologies

Robust troubleshooting, analytical, documentation, collaboration, and communication skillsNICE TO HAVE:Familiarity with Amazon Q in Quick

Sight / Quick Suite, including conversational and generative BI capabilities

Experience with Amazon Q Topics and semantic configuration for natural-language analytics

Familiarity with Quick Suite agents, chat-based experiences, and Spaces

Experience operating a BI Platform-as-a-Service or BI-as-a-Service environment

Experience supporting custom applications built around Amazon Quick

Sight APIsExperience with embedded Quick

Sight and programmatic dashboard or asset management

Experience troubleshooting end-to-end data flows across Quick

Sight, Athena, AWS Glue Data Catalog, Lake Formation, S3, and IAMExperience supporting serverless architectures using Amazon API Gateway and AWS Lambda

Experience with Tableau Server upgrades,



backup and recovery, monitoring, and performance tuning

Understanding of modern web applications and familiarity with Angular, Java

Script, or Type

Script

Familiarity with CI/CD pipelines and application deployment processes

Familiarity with infrastructure-as-code and cloud deployment practices

Familiarity with ITIL-based incident, problem, and change-management practices

Experience supporting enterprise environments with security, governance, and access-control requirementsABOUT ADASTRAAdastra 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 OFFEROpportunity for advancement and career progression

Competitive compensation

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 workplaceEQUAL OPPORTUNITY EMPLOYERIn 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.

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📌 Bi Platforms Operations Engineer (Toronto)
🏢 Adastra
📍 Toronto