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Added 1 hour ago
Senior Manager, Data Products
Pelmorex
Oakville, ON
Contract
…products we sell to agencies, brands, and partners, and the data platform underneath…
Added 1 hour ago
Senior Manager, Data Products
Pelmorex
Oakville, ON
Full-time
…products we sell to agencies, brands, and partners, and the data platform underneath…
Added 7 hours ago
Cloud DevOps Engineer - Azure, Terraform, Kubernetes, CI/CD & Data Platforms
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
Familiarity with modern cloud data engineering platforms such as Databricks and Snowflake is required, including query federations and fundamental data engineering concepts.
Added 16 hours ago
Senior Data Engineer
Confluence Technologies
Toronto, ON
Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 17 hours ago
Senior Visualization Professional
Capgemini
Mississauga, ON
- Integrate Power BI with Azure Databricks, Fabric, SQL Server, Synapse, Snowflake, and other enterprise platforms.
Added 17 hours ago
Software Engineer I Co-op (Data Foundations)
Planview Incorporated
Vancouver, BC
Temporary
In this role, you will be challenged with cutting-edge data platform technologies and GenAI-powered development workflows that will give you valuable skills for your career as a Software…
Added 18 hours ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
Full-time
Publicis Sapient is looking for a Senior Associate Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital…
Added 18 hours ago
Staff Software Engineer
Amplitude
Vancouver, BC · Greater Vancouver Metropolitan Area
Full-time
Amplitude is the leading AI analytics platform, helping over 4,700 customers - including Atlassian, Burger King, NBCUniversal, and Square - build better products and digital experiences.…
Added 20 hours ago
Senior Software Engineer - Credit Commercial Engineering
Marqeta
Remote, Canada
Full-time · Remote
Marqeta is seeking a skilled Senior Software Engineer to contribute to the design and delivery of software solutions on our Credit Commercial Engineering Team. In this role, you will take…
Added 21 hours ago
Data Engineer
Siri InfoSolutions, Inc.
Toronto, ON
Full-time
The primary focus of this role is to design, build, and maintain the EMFI Data Application Platform, a financial analytics application. The successful candidate will work across the full…
Added 22 hours ago
Senior ETL Engineer
Tech Talent International
Toronto, ON
Contract
Job Description: Senior ETL Engineer responsible for designing, developing, and optimizing scalable data solutions leveraging Snowflake, Data Cloud, and modern data engineering technologies.
Added 23 hours ago
Data Engineer
Arkhya Tech. Inc.
Canada
Full-time
Hands on experience with a modern cloud data platform such as Snowflake or comparable platform.
Added 1 day ago
Senior Data Engineer
Iris Software Inc.
Toronto, ON
Contract
Troubleshoot and resolve complex data platform issues involving performance, scalability, concurrency, consistency, and operational reliability.
Added 1 day ago
Staff Software Engineer (Infrastructure)
Amplitude
Vancouver, BC
Amplitude is the leading AI analytics platform, helping over 4,700 customers - including Atlassian, Burger King, NBCUniversal, and Square - build better products and digital experiences.…
Added 1 day ago
Senior Data Engineer
Style Analytics
Toronto, ON
Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 1 day ago
Senior Data Engineer
Confluence
Toronto, ON
Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 1 day ago
Intern, Backend Software Engineer - Team Interstellar - Winter 2027
Capital One
Toronto, ON
Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Intern, Backend Software Engineer - Team Interstellar - Winter 2027
Added 1 day ago
Lead Site Reliability Engineer - Database Management
SimCorp
Toronto, ON
Full-time
This role ensures a seamless onboarding experience for our clients on SimCorp’s SaaS platform. You will manage and troubleshoot Azure pipelines, align client requirements with PaaS…
Added 1 day ago
Senior Software Developer - SQL/Python
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking an experienced Senior Software Engineer to work within Wealth Management Global IT Data Services Canada - As a Senior Software Engineer, specializing in AI-driven agent…
Added 1 day ago
Data Platform Engineer II
Spring Financial Inc.
Vancouver, BC
Full-time
As a Data Platform Engineer II at Spring, you are a hands-on builder who delivers reliable, scalable data infrastructure. You'll work across our core stack of AWS, Snowflake, dbt, and…
Added 1 day ago
Data Platform Engineer II
Spring Financial
Vancouver, BC
Full-time
As a Data Platform Engineer II at Spring, you are a hands-on builder who delivers reliable, scalable data infrastructure. You'll work across our core stack of AWS, Snowflake, dbt, and…
Added 1 day ago
Senior Data Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
Other
We are seeking a Senior Data Engineer with deep expertise in designing and delivering scalable, real-time streaming as well as batch data pipelines and solutions using modern data platforms…
Added 2 days ago
Sr. Data Engineer
Arkhya Tech. Inc.
Canada
Full-time
Hands on experience with a modern cloud data platform such as Snowflake or comparable platform.
Added 2 days ago
Principal Data Engineer - Canada
JobGet
Remote, Canada
$160,000 to $190,000 CAD / year
Full-time · Remote
As our Principal Data Engineer, you will help lead the technical direction for how data flows, scales, and powers every decision at JobGet. You’ll own the data architecture behind our…
Added 5 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
We are looking for a Senior Data Quality Engineer to build and operate the testing and validation capabilities that ensure data delivered through our enterprise data platform is accurate,…

Publicis Sapient

Senior Associate Data Engineering (Azure/Databricks) Hybrid

Toronto, ON, Canada

Pay: Salary Range: $115,000 - $160,000
Job type: Full-time
Apply by: Oct 22, 2026
Posting language: English
Posted: Sep 22, 2026

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Original job description

Job Description

Senior Associate, Data Engineering

Publicis Sapient is looking for a Senior Associate Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital transformation projects. Working with the latest data and AI engineering technologies in the industry, you will be instrumental in helping our clients evolve for a more digital and AI-enabled future.

Your Impact:

Combine your technical expertise and problem-solving passion to work closely with clients, turning complex ideas into end-to-end data solutions that transform our clients’ business.
Translate client requirements into system design and develop solutions that deliver measurable business value.
Lead, design, develop and deliver large-scale data systems, data processing, data transformation, and data platform modernization initiatives.
Build and optimize batch and streaming data pipelines across modern cloud data platforms and distributed processing frameworks.
Support AI-enabled engineering use cases by designing high-quality data foundations, retrieval patterns, context engineering approaches, and scalable data services that power agentic and machine learning solutions.
Automate data platform operations and manage post-production systems, observability, quality, reliability, and operational processes, including telemetry pipelines that capture prompt, response, trace, latency, token, and cost data for AI-enabled services in a query able form.
Conduct technical feasibility assessments and provide project estimates for the design and development of solutions.
Mentor, support, and grow junior team members while contributing hands-on to delivery.

Qualifications

Your Skills and Experience:

Demonstrable experience implementing end-to-end data pipelines and production-grade data platforms.
Hands-on experience with at least one leading public cloud data platform: Amazon Web Services, Microsoft Azure, or Google Cloud Platform;
Hands-on experience with Azure Cloud Services, including Azure Data Lake Storage (ADLS), Azure Functions, Azure Kubernetes Service (AKS), and Azure Databricks.
Experience with Databricks as a data engineering platform is strongly preferred, including working with notebooks, jobs, Delta Lake, or similar lakehouse patterns.
Strong Python proficiency and practical experience using Python-based tooling for data engineering, automation, platform development, or AI engineering workflows.
In-depth knowledge of Scala, Apache Spark, PySpark, Python, Java, and shell scripting.
Implementation experience with column-oriented database technologies such as BigQuery, Redshift, Vertica, or similar platforms; NoSQL database technologies such as DynamoDB, Bigtable, Cosmos DB, or similar; and traditional database systems such as SQL Server, Oracle, or MySQL.
Experience implementing data pipelines for both streaming and batch integrations using tools and frameworks such as Glue ETL, Lambda, Google Cloud Dataflow, Azure Data Factory, Spark, Spark Streaming, or similar technologies.
Proficiency using Apache Airflow to orchestrate complex data workflows.
Experience with data modeling, warehouse design, fact/dimension implementations, and modern lakehouse or data mesh patterns.
Experience with code repositories, continuous integration, automated testing, release management, and production support practices.
Familiarity with MLOps concepts and the data engineering responsibilities required to support AI/ML deployment, validation, monitoring, rollback, and operational reliability.
Ability to handle module or track-level responsibilities while contributing to tasks hands-on.
Good communication skills and willingness to work as part of a collaborative, cross-functional team.

AI Engineering & Modern Data Platform Experience:

Exposure to AI engineering patterns, including context engineering, retrieval-augmented generation support patterns, agent architectures, and production data services that support AI-enabled experiences.
Experience building and maintaining the pipelines behind retrieval systems, including document parsing, chunking, metadata extraction, embedding generation, and incremental reindexing, alongside the vector databases, graph databases, semantic search, and knowledge retrieval structures they feed.
Exposure to agentic platforms or cloud AI services such as Vertex AI, Azure AI services, AWS AI services, or comparable platforms; specific platform experience is less important than understanding how AI engineering differs from traditional data engineering.
Practical experience deploying agents, integrating agent frameworks, or supporting agentic workflows in production or near-production environments is a plus.
Experience building evaluation data infrastructure for AI systems, including ground-truth and golden datasets, offline evaluation pipelines, and the data scaffolding behind LLM-as-judge and regression testing.
Experience modeling and persisting agent state, including session context, conversation history, and memory stores, treating them as a durable storage and data modeling problem rather than an application detail.
Support AI-enabled engineering use cases by designing high-quality data foundations, retrieval patterns, context engineering approaches, and scalable data services that power agentic and machine learning solutions, applying the same lineage, provenance, and data contract rigor to context and retrieval sources that you would to a production warehouse.
Experience with agentic harnesses or orchestration tools such as Pi, Hermes Agent, or similar platforms is a plus, but not required.
Experience with Snowflake and zero-copy architecture patterns is a plus, particularly for retail, financial services, energy, or CPG-oriented use cases.

Set Yourself Apart With:

Developer certifications for AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related cloud/data platforms.
Demonstrated experience applying AI engineering concepts in practical business environments rather than only academic or research settings.
Hands-on experience supporting AI/ML and LLM lifecycle needs such as model deployment support, monitoring, validation, shadow deployments, release management, and evaluation or data quality measurement for both predictive models and generative systems.
Experience in retail, financial services, energy, CPG, logistics, manufacturing, or other data-rich industries where applied AI and large-scale data engineering are used to solve operational or client-facing problems.
Good understanding of capital markets domain requirements, particularly FINRA compliance.
Understanding of Agile, product, and delivery methodologies in consulting or client-facing environments.

Additional Information

Salary Range: $115,000 - $160,000

The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.

An inclusive workplace that promotes diversity and collaboration.
Access to ongoing learning and development opportunities.
Competitive compensation and benefits package.
Flexibility to support work-life balance.
Comprehensive health benefits for you and your family.
Generous paid leave and holidays.
Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

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More about this job

Responsibilities

You will lead and deliver large-scale data systems, data processing, and platform modernization initiatives for digital transformation projects. Additionally, you will design high-quality data foundations and retrieval patterns to support AI-enabled engineering use cases.

Requirements

Candidates must have demonstrable experience implementing end-to-end data pipelines and production-grade data platforms on public cloud services like Azure. Proficiency in Python, Spark, and modern data engineering frameworks is required, along with experience in AI engineering patterns.

Skills

Azure
Databricks
Python
Spark
Data engineering
Cloud platforms
Data pipelines
AI engineering
Delta Lake
Kubernetes
SQL
NoSQL
Apache Airflow
Data modeling
MLOps
Retrieval-augmented generation

Benefits

Health benefits
Paid leave
Holidays
Wellness program
Employee assistance
Learning and development opportunities

Visa sponsorship

Not detected in the job text

Keywords

Azure
Databricks
Python
Spark
Delta Lake
Kubernetes
Data Engineering
AI Engineering
Cloud Computing
Data Pipelines
NoSQL
SQL
Apache Airflow
MLOps
Retrieval-Augmented Generation
Data Modeling
Data Mesh
BigQuery
Redshift
Cosmos DB
Vertex AI
Agile
Consulting
Digital Transformation
Telemetry
Vector Databases
LLM
Data Warehouse
Automation
Distributed Systems

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