Overview
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 QuickSight / Quick Suite, and a BI-as-a-Service platform built on Amazon QuickSight.
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, NY
Work Model: Hybrid 4-Days Onsite
Employment Type: Contractor
RESPONSIBILITIES:
- Provide day-to-day production support for Tableau Server, Amazon QuickSight / 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 QuickSight / Quick Suite analyses, dashboards, datasets, data sources, themes, folders, templates, and related assets
- Support QuickSight 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 QuickSight users, groups, namespaces, folders, permissions, and access controls
- Support programmatic management of QuickSight assets and permissions using QuickSight APIs and AWS SDKs
- Troubleshoot embedded QuickSight, authentication, authorization, and asset-provisioning workflows
- Support Amazon Q Topics and other conversational or generative BI capabilities within QuickSight / Quick Suite
- Troubleshoot integrations across QuickSight, Athena, AWS Glue Data Catalog, Lake Formation, S3, and IAM
- Support AWS Lambda functions, Amazon API Gateway endpoints, and RESTful API integrations used by the BI platform
- Use Amazon CloudWatch 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 readiness
QUALIFICATIONS, SKILLS & EXPERIENCE:
- Hands-on experience supporting enterprise BI platforms in production environments
- Strong experience with Tableau Server administration and operational support
- Strong hands-on experience with Amazon QuickSight administration, authoring, and production support
- Experience supporting QuickSight 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 QuickSight 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 APIs
- Strong understanding of REST API methods, headers, payloads, authentication, authorization, and error handling
- Hands-on experience with Amazon CloudWatch 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, PowerShell, Bash, AWS CLI, or similar technologies
- Strong troubleshooting, analytical, documentation, collaboration, and communication skills
NICE TO HAVE:
- Familiarity with Amazon Q in QuickSight / 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 QuickSight APIs
- Experience with embedded QuickSight and programmatic dashboard or asset management
- Experience troubleshooting end-to-end data flows across QuickSight, Athena, AWS Glue Data Catalog, Lake Formation, S3, and IAM
- Experience 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, JavaScript, or TypeScript
- 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 requirements
ABOUT ADASTRA
Adastra 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 OFFER
- Opportunity 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 workplace
EQUAL OPPORTUNITY EMPLOYER
In 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. All employment offers are sent via DocuSign and if you receive an employment offer from a suspicious email and not via DocuSign, it is fraudulent.
Contact careers@adastragrp.com to inquire about jobs at Adastra, to report a suspicious request for money or personal information from external websites or suspicious employment offers.