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Added 4 hours ago
P
Digital Assurance & Transparency Senior Manager
PwC
Toronto, ON
- Full-time
…They evaluate compliance with regulations including assessing governance and risk management processes and related…
Added 5 hours ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
…collaborate with Data Engineering, Data Science, Architecture, Governance, Security and business teams to turn data and AI opportunities into secure, reliable and production-ready…
Added 5 hours ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
…collaborate with Data Engineering, Data Science, Architecture, Governance, Security and business teams to turn data and AI opportunities into secure, reliable and production-ready…
Added 5 hours ago
C
Generative AI and Agentic Solutions Architect
CGI
Montreal, QC
- Full-time
Assess use cases and select the appropriate approach: deterministic processing, conventional software development, an LLM call, retrieval-augmented generation (RAG), or agent orchestration.
Added 9 hours ago
Director, Solutions Architecture - Enterprise Architecture (Chicago)
Fitch Group
Toronto, ON
Hands-On Contribution to Automated Governance: Build agents alongside the EA team - PR review, ARB submission support, technology evaluation - using your own experience with agent…
Added 10 hours ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Our Toronto Financial Client is seeking two AI Platform Engineers to support a large enterprise AI transformation program. The successful candidates will design, build, and operate AI…
Added 10 hours ago
P
External Audit, Senior Associate (Bilingual FR/EN)
PwC
Montreal, QC
- Full-time
…valuable areas of client service and on enhancing corporate governance and the reliability of our clients’…
Added 10 hours ago
P
External Audit Manager (Bilingual FR/EN)
PwC
Montreal, QC
- Full-time
…valuable areas of client service and on enhancing corporate governance and the reliability of our clients’…
Added 10 hours ago
AI
Power Platform & GenAI Developer – Microsoft Power Apps, Power Automate, Copilot, AI/LLM
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Full-time
Power Platform & GenAI Developer – Power Apps, Power Automate, Copilot, LLMs, AI Integration
Added 11 hours ago
A
Forward Deployed Technical Consultant-Snowflake: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
Implement tool-use orchestration, prompt engineering, and evaluation frameworks (LLMOps) for reliable, auditable AI agent behaviour.
Added 11 hours ago
A
Software Developer - Senior
Akkodis
Toronto, ON
- Contract
5+ years of ServiceNow platform experience, including 3-5 years in solution architecture and platform governance roles.
Added 11 hours ago
CT
Business Systems Engineer, AI
Canadian Tire Corporation
Oakville, ON · Toronto, ON
- Full-time
…at the intersection of business analysis, process design, AI agent development, and Atlassian platform…
Added 13 hours ago
T
Data Scientist II
TD
Toronto, ON
- Full-time
Develop reusable agent capabilities, prompts, instructions, context, grounding approaches, and workflow integrations.
Added 15 hours ago
OS
Technical Product Owner
Open Systems Technologies
Montreal, QC
- Contract
Experience with Microsoft Dataverse, Power BI, connectors, APIs, solution packaging, environment strategy, role-based access, data loss prevention policies, or Power Platform governance.
Added 15 hours ago
C
Expert System Architecture - Google Cloud Platform and Gemini Entreprise-CA
CN
Toronto, ON
- Full-time
Act as the hands-on technical lead and architect for the enterprise Gemini Enterprise platform, including reference architecture, landing zone, configuration, operating standards, and…
Added 17 hours ago
AI Data Developer II, Professional Services, Google Cloud
Google
Toronto, ON
As a Data Developer, you'll guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and…
Added 20 hours ago
A
Développeur natif à l’IA (agentique et appliquée)
Accenture
Ottawa, ON
- Full-time
…cadre d’évaluation, et vous savez ce qui se passe lorsque votre agent tombe en panne à 2 h du matin, car vous l’avez déjà…
Added 20 hours ago
A
Développeur natif à l’IA (agentique et appliquée)
Accenture
Toronto, ON
- Full-time
…cadre d’évaluation, et vous savez ce qui se passe lorsque votre agent tombe en panne à 2 h du matin, car vous l’avez déjà…
Added 1 day ago
RB
Principal AI Engineer, AI DLC Platform
Royal Bank of Canada
Toronto, ON
- Full-time
This role suits a technical leader who combines deep agentic-AI and platform engineering skill with the judgment to work with risk, governance and engineering partners and turn policy into…
Added 1 day ago
L
Senior BI Platform Operations Engineer
Luxoft
Toronto, ON
- Contract
We are looking for a hands-on BI Platform Operations Engineer to provide production operational support, administration, maintenance, and technical troubleshooting for our enterprise…
Added 1 day ago
ZS
Power Automate with AI
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Experience includes at least 2+ projects as a Technical Developer across Power Platform implementation, integration, automation, and AI agent development.
Added 1 day ago
R
Principal AI Engineer, AI DLC Platform
RBC
Toronto, ON
- Full-time
This role suits a technical leader who combines deep agentic-AI and platform engineering skill with the judgment to work with risk, governance and engineering partners and turn policy into…
Added 1 day ago
C
Staff Backend Engineer | Remote, US & Canada
Cube
Canada
- Full-time
Cube is the financial intelligence platform built for the AI-era.
Added 1 day ago
E
Microsoft Copilot and AI Specialist
EllisDon
Mississauga, ON
- Full-time
…whether a need should be addressed through AI, automation, an agent, an existing platform capability, or process…
Added 1 day ago
P
Lead Data Consultant, Manager
PwC
Toronto, ON
- Full-time
…data ingestion, storage, processing, integration, security, governance, observability and consumption…

Google

AI Data Developer II, Professional Services, Google Cloud

Toronto, ON, Canada

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Applications open in a new tab.

Job details

Experience: 5 years of experience with data processing software (e.g., Spark, Beam) and algorithms.
Posting language: English
Posted: Oct 20, 2026

Original job description

Minimum qualifications:

Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
5 years of experience with data processing software (e.g., Spark, Beam) and algorithms.
Experience managing client-facing projects, troubleshooting technical issues, and working with Developers and Sales Services teams
Experience with database administration techniques or distributed data processing, as well as writing software in Java, Python, or SQL.

Preferred qualifications:

Google Cloud Platform (GCP) Professional Data Certification(s).
Experience in technical consulting and working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
Experience building production LLM/GenAI systems: multi-agent orchestration, agent frameworks (e.g. ADK), tool and function calling, RAG, and prompt/context development.
Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
Experience building machine learning solutions and working with technical customers.

About the job:

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Data Developer, you'll guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to architect scalable data processing systems, build efficient data pipelines, and resolve platform challenges. In this role, you'll collaborate with Google's strategic cloud customers and our team to successfully implement Google Cloud products.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Canada: $170000 - $174000 (CAD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

Act as a trusted technical advisor to customers and solve complex Big Data and AI challenges. Communicate effectively for client meetings and onsite delivery activities. Travel up to 30% of the time.
Lead the end-to-end delivery of enterprise-scale data platforms, enabling real-time ingestion and high-performance consumption for AI/ML and Agentic use cases.
Own the operational lifecycle of data products - including governance, security, cost-efficiency, and SLA management - in collaboration with stakeholders to drive long-term technical strategy.
Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders.
Analyze on-premises and cloud data platform environments and consult on the optimal design for performance and deployment on Google Cloud Platform.

Apply About employer

More about this job

Responsibilities

Act as a trusted technical advisor to customers, solving complex Big Data and AI challenges while leading the end-to-end delivery of enterprise-scale data platforms. Manage the operational lifecycle of data products and create technical documentation and best practice recommendations for stakeholders.

Requirements

Requires a bachelor's degree in Computer Science or a related field and at least 5 years of experience with data processing software and algorithms. Candidates must have experience in technical consulting, database administration, and proficiency in Java, Python, or SQL.

Skills

Data processing
Spark
Beam
Java
Python
SQL
Database administration
Distributed data processing
Technical consulting
Data warehousing
ETL/ELT
LLM
GenAI
RAG
Big Data
Machine learning

Benefits

Bonus
Equity
Health benefits

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
Spark
Beam
Java
Python
SQL
Data warehousing
ETL
ELT
LLM
GenAI
RAG
Big Data
Machine learning
Data migration
Data pipelines
Cloud computing
Technical consulting
Data governance
SLA management
Agentic systems
Multi-agent orchestration
Prompt engineering
Virtualized environments
Enterprise-scale platforms

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