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Big Query Jobs in Ontario (NOW HIRING)

CA$110 - CA$140/hr

Implement S4 CDS views in Google Big Query * Architect data solutions on GCP using BigQuery, Cloud Storage, Dataflow, and Dataproc. * Design and orchestrate ETL/ELT pipelines using Apache Airflow ...

Senior OTC Analyst

Toronto, ON ยท Remote

CA$70K - CA$80K/yr

Familiarity with Big Query is plus * Validated experience in testing methodology * Experience with Oracle, SAP, and billing software (High Radius, etc.) strongly preferred. * Sound understanding of ...

Ship your first code in days, iterating on features in an Agile manner leveraging Scala and technologies like Spanner, pub/sub, GCP Big Query * Build robust and performant infrastructure that ...

Senior OTC Analyst

Toronto, ON ยท Remote

CA$70K - CA$80K/yr

Familiarity with Big Query is plus * Validated experience in testing methodology * Experience with Oracle, SAP, and billing software (High Radius, etc.) strongly preferred. * Sound understanding of ...

Are you ready to be a big part of something big? At Trader Interactive, we make buying and selling ... Tune performance and relevance through query optimization, caching, and schema design. * API ...

... big and complex data sets in generating actionable reports and insights for our customers, optimizing query performance and cost, and using cutting-edge front-end technologies to create an incredible ...

Develop and maintain reusable query libraries and custom software components to support analytics ... Familiarity with big data and distributed technologies such as Hadoop, Kafka, and distributed file ...

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Big Query information

See Ontario salary details

$12

$56

$81

How much do big query jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for big query in Ontario is $56.60, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $64.90 per hour, depending on experience, location, and employer.
What are popular job titles related to Big Query jobs in Ontario? For Big Query jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Big Query jobs in Ontario look for? The top searched job categories for Big Query jobs in Ontario are:
Infographic showing various Big Query job openings in Ontario as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $117,721 per year, or $56.6 per hour.

CA$110 - CA$140/hr

Contractor

Posted 11 days ago


Job description

About the job GCP Data Architect - Remote

Software International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and midโ€‘sized organizations in Canada/US and Europe.

We currently have an indefinite contract role as a GCP Data Architect with our global consulting client, working at remotely. This is a 6 month contract initially, but could be extended.

GCP Data Architect

Type: Contract

Duration: 6 months to start + potential extension

Location: Toronto, ON - remote with occasional office visits

Rate: $110 -$140 CDN/hr C2C depending on overall experience

GCP Data Architect - Role Overview

We are seeking a highly skilled Google Cloud Platform (GCP) Data Architect with strong SAP data integration expertise to design, implement, and oversee enterpriseโ€‘grade data solutions. The ideal candidate will combine deep expertise in cloud data platforms, data governance, security, and data modeling with handsโ€‘on experience in ETL/ELT pipelines, SAP data extraction, system migrations, and analytics . This role will collaborate with business stakeholders, and engineering teams to create a robust, scalable, and costโ€‘effective data ecosystem that bridges SAP and GCP environments.

Key Responsibilities 1. Data Strategy, Security & Governance
  • Define and implement enterpriseโ€‘wide data strategy aligned with business goals.
  • Establish data governance frameworks , data classification, retention, and privacy policies.
  • Ensure compliance with industry standards and regulations (e.g., GDPR, HIPAA, PIPEDA).
  • Design conceptual, logical, and physical data models to support analytics and operational workloads.
  • Implement star, snowflake, and data vault models for analytical systems.
  • Implement S4 CDS views in Google Big Query
  • Architect data solutions on GCP using BigQuery, Cloud Storage, Dataflow, and Dataproc.
  • Design and orchestrate ETL/ELT pipelines using Apache Airflow (Cloud Composer), and Dataflow
  • Integrate data from multiple systems including SAP BW, SAP HANA, Business Objects using tools like SAP SLT, or Google Cortex Framework.
  • Leverage integration tools such as Boomi for system interoperability.
5. Programming & Analytics
  • Develop complex SQL queries for analytics, transformations, and performance tuning.
  • Build automation scripts and utilities in Python .
  • Good understanding of CDS views, ABAP language
6. System Migration
  • Lead onโ€‘premise to cloud migrations for enterprise data platforms (SAP BW/Bobj)
  • Manage migration of SAP datasets to GCP ensuring data integrity and minimal downtime.
8. DevOps for Data
  • Implement CI/CD pipelines for data workflows using GitHub Actions, Cloud Build, and Terraform.
  • Apply infrastructureโ€‘asโ€‘code principles for reproducible and scalable deployments.
Preferred Skills
  • Proven experience with GCP BigQuery, Cloud Storage, Pub/Sub, Dataflow .
  • Strong SQL and Python programming skills.
  • Handsโ€‘on experience with SAP data extraction, modeling, and integration from ERP, BW, and/or HANA systems.
  • Knowledge of data governance frameworks and data security best practices.
  • Experience with Boomi, Informatica, or MuleSoft for SAP and nonโ€‘SAP integrations.
  • Experience in Google Cortex Framework for SAPโ€‘GCP integrations.
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