Title: BI Platform Operations Engineer

Type: 6 month contract + possibility of extension

Location: Toronto or New York office

Work Model: Hybrid - 3 day onsite / 2 day WFH

Pay Rate: $80-85/hr

Collabera is seeking a BI Platform Operations Engineer to support the BI-as-a-Service team. This is primarily a production support and BI platform operations role, supporting the organization's existing Tableau workplace and its growing AWS QuickSight / BI-as-a-Service platform.

The organization is transitioning from Tableau to AWS QuickSight as its strategic BI platform. The ideal candidate is someone with a strong Tableau administration/support background who has gained hands-on exposure to QuickSight and AWS, along with enough Python/API knowledge to troubleshoot the custom backend platform. They do not need to be an expert in every technology; the biggest priority is finding someone technically capable and mature enough to independently own production incidents, troubleshoot issues, and communicate with stakeholders, particularly because outages can impact trading.

Day-to-Day Responsibilities:

The BI Platform Operations Engineer will provide production support across Tableau, AWS QuickSight, and the organization's custom BI-as-a-Service platform. They will administer and troubleshoot the existing Tableau environment while supporting the ongoing transition to QuickSight. On the QuickSight side, they will support dashboards, permissions, configurations, deployments/promotions, and production issues.

They will also troubleshoot the underlying BI-as-a-Service platform, which uses Python, APIs, Lambda, API Gateway, DynamoDB, Terraform, Athena, Glue, Lake Formation, Git and CI/CD. The person will investigate issues end-to-end, perform root-cause analysis, coordinate with engineering teams when necessary, and take ownership of production incidents through resolution.

Must-Haves:





- Strong hands-on Tableau administration and production support experience, including infrastructure, troubleshooting, permissions and dashboards

- Hands-on AWS QuickSight experience with administration, dashboards, permissions/policies and production troubleshooting; does not need to be a QuickSight expert

- Basic-to-intermediate Python and API knowledge, with the ability to understand existing code/processes and troubleshoot backend issues

- Strong production support, incident management and root-cause analysis experience, with demonstrated ownership of issues through resolution

- Senior-level communication and troubleshooting maturity with the ability to independently handle high-impact incidents and communicate with technical/business stakeholders

Plusses:

- Experience with AWS Lambda, API Gateway and DynamoDB

- Experience with Athena, AWS Glue, Lake Formation and IAM/data permissions

- Experience with Terraform, particularly the ability to read and troubleshoot existing modules/automation

- Experience with Git, CI/CD pipelines and broader AWS-native environments

- Experience supporting a BI-as-a-Service/platform environment or Tableau-to-QuickSight migration

We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.

The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location. For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.

Thanks,

📌 BI Platform Support Engineer (Toronto)
🏢 Collabera
📍 Toronto