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Added 1 month ago
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Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 1 month ago
I
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
- Full-time
Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented…
Added 1 month ago
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Sr. Physical AI Research Scientist
LG Electronics
Toronto, ON
- Full-time
…Whether it’s through smart functionality, design, or innovative technology, our home appliances, including kitchen, laundry and lifestyle solutions, media entertainment products including…
Added 1 month ago
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Senior Privacy, Security & AI Governance Consultant
CGI
Victoria, BC
- Full-time
Added 1 month ago
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Technical Project Manager (Generative AI)
LTM
ON · Ontario, Canada
- $100,000 to $130,000 USD / year
- Full-time
We are seeking an experienced Technical Project Manager to lead the delivery of enterprise scale applications built using modern cloudnative technologies and Generative AI frameworks The…
Added 1 month ago
PC
Capital Markets and Accounting Advisory Services, Senior Associate
Pwc Canada
Calgary, AB
- Full-time
Leverage a broad range of analytical tools, techniques, and GenAI solutions to identify insights from emerging business trends, drive value across client projects and internal initiatives,…
Added 1 month ago
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Test Automation Senior Manager (SDET)
Accenture
Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
ARE YOU READY to step up to the New and take your technology expertise to the next level?
Added 1 month ago
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Capital Markets and Accounting Advisory Services, Senior Associate
PwC
Calgary, AB
- Full-time
Leverage a broad range of analytical tools, techniques, and GenAI solutions to identify insights from emerging business trends, drive value across client projects and internal initiatives,…
Added 1 month ago
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Director - Product Management (Managed Services & Digital Platforms)
Wipro
Mississauga, ON
- Full-time
Lead adoption of AI, GenAI, AIOps, and automation platforms.
Added 1 month ago
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Manager, Product Engineering & Development - Full-Stack Builder
Deloitte
Toronto, ON
- Full-time
Lead technical solutioning for opportunities in your domain, partnering with account teams to qualify, shape, and win pursuits.
Added 1 month ago
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Senior Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights…
Added 1 month ago
PC
Analyste, Assurance Qualité / Quality Assurance Analyst (Signature)
Portage CyberTech
Gatineau, QC
- Full-time
…d'améliorer l'automatisation des tests, valider les solutions GenAI et assurer la fiabilité des fonctionnalités intelligentes. Vous participerez à l'évaluation des outils, à l'évolution des…
Added 1 month ago
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AI Automation Test Lead/Architect
Cognizant
Toronto, ON
- $90,000 to $117,000 CAD / year
- Full-time
Ability to work independently, have the capability to lead a team and engage with senior business and technology stakeholders.
Added 1 month ago
Principal Consultant, GenAI
Lovelytics
Toronto, ON
Lead end-to-end delivery of smaller GenAI and Agentic AI solutions on Databricks, through production deployment.
Added 1 month ago
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Information Technology Business Relationship Manager
Mumba Technologies, Inc.
Canada
- Contract
Lead and coordinate HR/IT technology projects from planning through delivery.
Added 1 month ago
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Data Scientist
AgileGrid Solutions
Canada
- Full-time
McKesson Corporation is seeking a highly skilled and innovative Lead Data Scientist with experience in Generative AI development. This role will lead the design, development, and deployment…
Added 1 month ago
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Senior Manager, AI/ML Engineering
lululemon
Vancouver, BC
- Full-time
…lululemon operates. Through deep partnership with product, technology, and business teams, Enterprise Data & AI accelerates product innovation, unlocks measurable value, elevates guest and…
Added 1 month ago
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Architect - Machine Learning
Quantiphi
Canada
- Full-time
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
Added 1 month ago
Lead Consultant, Gen AI
Lovelytics
Toronto, ON
Lovelytics is seeking a Lead GenAI Consultant with hands-on experience delivering client-facing projects in the Generative AI domain, particularly on the Databricks platform. As part of our…
Added 1 month ago
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Regression Tester
Synechron
Toronto, ON
- $100,000 to $110,000 CAD / year
- Full-time
…scripts using Selenium, Playwright, Python, and JavaScript. Lead regression testing, execute test plans, identify defects, and ensure high-quality releases.Collaborate with cross-functional…
Added 1 month ago
TC
AI Deployment & Solutions Lead
Tata Consultancy Services
Toronto, ON
- $115,000 to $165,000 CAD / year
- Full-time
The Forward Deployment Engineer (FDE) Technical Lead is a hands-on engineering leader responsible for solving complex problems by combining software engineering, AI/GenAI, data, cloud,…
Added 2 months ago
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Manager, Organizational Change Management & AI Adoption
Avanade
Toronto, ON
- Full-time
At Avanade, we help organizations realize the full value of their technology investments by ensuring people adopt, embrace, and thrive through change. As a Manager in our Organizational…

Closed listing

SRA Group

Lead Data Platform Engineer

Toronto, ON, Canada

Contract

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Job type: Contract
Closing date: Oct 17, 2026
Experience: 8+ years of experience in data engineering, big data analytics, or enterprise data platforms, including 2+ years in a lead or technical leadership role.
Posting language: English
Posted: Sep 17, 2026

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Original job description

Archived listing. The details below describe a past opening.

Job Title : Lead Data Platform Engineer

Location – Downtown Toronto (hybrid - minimum 3 days in a week)

Duration: 6 months with possible extensions

Key Responsibilities:

Lead the ingestion, transformation, aggregation, and processing of large scale datasets to enable advanced analytics and downstream consumption.

Design, build, and maintain robust, scalable data pipelines across Hadoop/Databricks and enterprise data platforms, ensuring high standards of data quality, reliability, performance, and availability.

Drive data unification initiatives, integrating multiple structured and semi structured data sources into a cohesive, governed analytical foundation.

Advanced Analytics Enablement

Manipulate and analyse high volume, high velocity, and high dimensional datasets using modern big data framework and/or Cloud native applications

Analyse large volumes of transactional and product data to produce insights and actionable recommendations that support business growth and value realisation.

Apply metrics, measurement frameworks, and benchmarking techniques to evaluate solution effectiveness and drive continuous improvement.

Cross Functional Collaboration

Partner with Product Managers, Data Science, Platform Strategy, and Technology teams to understand analytical and data requirements and translate them into scalable engineering solutions.

Act as a technical bridge between business, analytical, and engineering teams, clearly articulating architecture decisions, trade offs, and implementation approaches.

Enable alignment across stakeholders to ensure data solutions are directly tied to business and customer outcomes.

Innovation & Value Creation

Identify innovation opportunities and deliver proofs of concept, prototypes, and pilot solutions aligned to near term and future business needs.

Integrate new and emerging data assets that enhance existing platforms, products, and services, strengthening overall value propositions.

Gather and synthesise feedback from clients, product, engineering, and sales teams to inform new solutions and product enhancements.

Technical Leadership & Mentorship

Provide technical leadership, guidance, and mentorship to data engineers and analysts, setting standards for engineering quality, scalability, performance, and maintainability.

Promote best practices in data modelling, pipeline design, performance optimisation, and data governance.

Influence engineering standards, architectural consistency, and long term platform sustainability.

All About You

Technical Skills & Experience

• Strong proficiency in Python, including Pandas, NumPy, PySpark, with hands on experience using Impala.

• Proven experience working on Hadoop based platforms, performing large scale data extraction, transformation, and processing.

• Strong SQL skills and experience working with both relational and distributed data stores.

• Experience with enterprise data platforms and business intelligence ecosystems.

• Hands on experience with ETL / ELT and data integration tools, such as Apache Airflow, Apache NiFi, Azure Data Factory.

Experience in data modelling, querying, data mining, and reporting over large volumes of granular data.

Exposure to machine learning concepts and analytical techniques used in advanced data solutions and Feature calculations and Model serving is a big plus.

• 8+ years of experience in data engineering, big data analytics, or enterprise data platforms, including 2+ years in a lead or technical leadership role.

• Experience working with cloud based data platforms (Azure/AWS, Databricks/Snowflake), including data lakes, distributed compute, and storage services.

• Experience implementing CI/CD pipelines and DevOps practices for data engineering workflows.

GenAI / LLM Skills (Preferred)

Experience enabling GenAI/AI products through scalable, reliable data ingestion and transformation pipelines (batch and streaming).

Exposure to unstructured and semi-structured data processing (documents/logs/text) and building curated datasets for downstream consumption.

Strong understanding of data governance, privacy, and security requirements when using enterprise data with AI (PII handling, access control, auditability).

Familiarity with operationalizing AI data workflows (monitoring, data quality checks, reproducibility, and cost-aware scaling in cloud environments).

Analytical & Business Acumen

Strong experience collecting, standardising, and summarising diverse datasets while identifying patterns, inconsistencies, and data quality issues.

Solid understanding of how analytics, metrics, and visualisation support business decision making.

Ability to comprehend complex operational systems and deliver scalable analytics and information products to a global user base.

Ways of Working

Comfortable operating in a fast paced, delivery driven environment, both as a hands on contributor and a technical leader.

Ability to move seamlessly between business, analytical, and technical contexts, communicating clearly with diverse audiences.

Demonstrates Client’s DQ values, with a collaborative, inclusive, and customer centric mindset.

Note: Skills which is highlighted are Mandatory for this position.

About employer

More about this job

Responsibilities

Lead the ingestion, transformation, and processing of large-scale datasets while designing and maintaining robust, scalable data pipelines. Act as a technical bridge between business and engineering teams to translate analytical requirements into actionable data solutions.

Requirements

Requires 8+ years of experience in data engineering or big data analytics, including 2+ years in a leadership role. Proficiency in Python, SQL, and Hadoop-based platforms is mandatory, along with experience in cloud-based data platforms like Azure, AWS, or Databricks.

Skills

Python
Pandas
NumPy
PySpark
Impala
Hadoop
SQL
Apache Airflow
Apache NiFi
Azure Data Factory
Data Modeling
Databricks
Snowflake
CI/CD
DevOps
Data Governance

Visa sponsorship

Not detected in the job text

Keywords

Data Platform Engineer
Python
Pandas
NumPy
PySpark
Impala
Hadoop
SQL
Apache Airflow
Apache NiFi
Azure Data Factory
Databricks
Snowflake
ETL
ELT
Data Modeling
CI/CD
DevOps
GenAI
LLM
Data Governance
Big Data
Cloud Native
Data Lakes
Distributed Compute
Data Mining
Machine Learning
Analytics
Data Engineering
Architecture

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