Bi Platforms Operations Engineer
Job Summary
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 intelligenceresponsibly 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 worlds 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 journeybuilding 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 2000 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 Canadas 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 Corporations 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.
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Required Experience:
IC