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QA Automation Engineer - ETL/Database
Infoya
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
About the Job: Infoya is looking for an experienced Senior Automation Engineer with strong expertise in test automation , database testing, ETL validation, and data pipeline testing. The…
Added just now
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QA Automation Engineer - Database & ETL Testing
Infoya
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
About the Job: Infoya is looking for an experienced Senior Automation Engineer with strong expertise in test automation , database testing, ETL validation, and data pipeline testing. The…
Added just now
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Senior Network Engineer
Xanadu
Toronto, ON
- $95,000 to $115,000 CAD / year
- Full-time
As a Senior Network Engineer, you will own, secure, and modernize our enterprise network infrastructure across a multi-vendor environment. In this role, you will bridge core network…
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Principal, Energy and Carbon Solutions
WalterFedy
Hamilton, ON
- Full-time
Where applicable, ensure project managers maintain accurate project plans, financial data and forecasts, including customer relationship management information where applicable.
Added just now
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MLOps Engineer
Planitar Inc.
Waterloo, ON
- $120,000 to $150,000 CAD / year
- Full-time
…immersive 3D tours, accurate floor plans and reliable spatial data into a single, easy-to-use system. Our cameras and software platform are used by professionals in real estate, insurance,…
Added 1 min ago
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MLOps Engineer
Planitar
Waterloo, ON
- Full-time
…immersive 3D tours, accurate floor plans and reliable spatial data into a single, easy-to-use system. Our cameras and software platform are used by professionals in real estate, insurance,…
Added 28 mins ago
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Senior Software Engineer, Dentrix Ascend
Henry Schein One UK
Surrey, BC
- Full-time
…development of Dentrix Ascend, our cloud-based practice management platform used by dental practices across the United States. Engineers in Canada work closely with product and engineering…
Added 28 mins ago
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Technical Project Manager
Randstad Enterprise
Montreal, QC
- Contract
…RAG-enabled knowledge experiences. The role does not require an AI engineer. It requires a thoughtful practitioner who can apply knowledge principles in an evolving AI environment,…
Added 29 mins ago
FI
Staff Supply Chain Simulation Scientist
Fulfillment IQ
Remote, Canada
- Full-time
- Remote
Workbench is FIQ's warehouse-design platform: it lets a solutions engineer draw a warehouse the way an architect draws a building. You will design, build and own Workbench’s warehouse…
Added 29 mins ago
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Senior Simulation Scientist
Fulfillment IQ
Remote, Canada
- Full-time
- Remote
Workbench is FIQ's warehouse-design platform: it lets a solutions engineer draw a warehouse the way an architect draws a building. You will design, build and own Workbench’s warehouse…
Added 29 mins ago
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QA Automation Engineer - ETL/Database
INFOYA
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
experienced Senior Automation Engineer with strong expertise
Added 1 hour ago
MF
SRE/DevOps Engineer
Magnet Forensics
Canada
- Full-time
We are building a SRE-DevOps team for the GrayKey cloud platform: the services that license, provision, and support GrayKey and VeraKey devices used by law enforcement and government…
Added 2 hours ago
AI
Site Reliability Engineer – Azure Operations, Databricks Support & Incident Response
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
As an Intermediate Site Reliability Engineer, you will support and continuously improve enterprise Azure and Databricks platforms. The role focuses on production reliability, monitoring,…
Added 3 hours ago
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Staff Software Engineer, ML Infra & Distributed Systems
Tubi
Toronto, ON
- Full-time
As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference…
Added 3 hours ago
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Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
We are seeking a Principal Engineer with at least 14 years of experience to serve as a technical visionary and thought leader for Acceldata's Open Data Platform (ODP). In this role, you…
Added 4 hours ago
SP
Software Engineering LMTS
Salesforce Partner Canada
Vancouver, BC
- Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 5 hours ago
K
Senior Software Engineer – DevTest / QA Automation
Kaseya
Toronto, ON
- Full-time
…and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and…
Added 5 hours ago
MS
Founding Product Designer
Mangrove Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Watch clients and implementation engineers use the platform - for example, sitting with an implementation engineer standing up a new client and noting where they leave the UI for a…
Added 5 hours ago
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Senior Mobile Engineer
Pentasia
Toronto, ON
- $140,000 to $180,000 CAD / year
- Full-time
…digital entertainment space is seeking a Senior React Native Engineer to help build and scale its mobile platform for sports and casino…
Added 5 hours ago
MA
Senior AI Engineer
Meeru AI Inc
Remote, Canada
- Other
- Remote
Meeru AI is building an AI-native platform that transforms how finance and accounting teams operate. We connect to enterprise financial systems - ERPs, CRMs, billing platforms, HRIS - and…
Added 6 hours ago
RT
Senior Data Architect
Ripotek Technologies Inc.
Calgary, AB
- Full-time
Proven track record delivering 5+ large-scale data platform implementations
Added 6 hours ago
RT
Azure Solutions Consultant
Ripotek Technologies Inc.
Calgary, AB
- Full-time
Pursue Microsoft certifications (Azure Data Engineer, Solutions Architect)
Added 6 hours ago
LG
Server Engineer - Unannounced Project
Lightfox Games
Vancouver, BC
- Full-time
Lightfox Games is seeking a talented and enthusiastic Server Engineer to join our Vancouver based team to work on an unannounced mobile game for a world-class IP and Publisher. This role is…
Added 6 hours ago
RT
Junior Data Engineer
Ripotek Technologies Inc.
Calgary, AB
- Full-time
As a Junior Data Engineer, you'll support client projects by building data pipelines, writing SQL queries, and assisting with data platform implementations. This is an entry-level role…
Added 7 hours ago
AC
D365 F&O Functional Analyst
Aston Carter
Richmond, BC
- Full-time
…continuous improvement of the Dynamics 365 Finance & Operations platform. This role manages system security, licensing, upgrades, and overall environment health, while configuring and…

Acceldata

Principal Engineer - Open Source Data Platform (ODP)

Kitchener, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 7, 2026
Experience: 12+ years of hands-on software development experience with at least 8 years focused on distributed systems, big data platforms, or data infrastructure.
Posting language: English
Posted: Sep 14, 2026

Original job description

About Us
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a Series-C funded company headquartered in Silicon Valley.

Our Enterprise Data Observability Platform - the first of its kind - helps enterprises build and operate world-class data products by ensuring data is reliable, trusted, and ready to power today’s most critical technologies, including AI, LLMs, Analytics, and DataOps.

Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey’s, Dun & Bradstreet, and many more.

About The Role
We are seeking a Principal Engineer with at least 14 years of experience to serve as a technical visionary and thought leader for Acceldata's Open Data Platform (ODP). In this role, you will define the long-term technical strategy, lead the most complex architectural initiatives, and represent Acceldata in the global open-source and distributed systems community. You will work directly with engineering leadership and executives to shape product direction while driving innovation across the organization.

WHY JOIN US?
As a Principal Engineer at Acceldata, you will be at the forefront of shaping the future of enterprise data platforms, defining the technical vision for systems that power mission-critical workloads across the world's largest organizations. Your decisions will directly influence not only our platform but also the broader data ecosystem through open-source contributions and industry leadership.

You'll work alongside Apache members, committers, and industry veterans who are passionate about solving the hardest problems in distributed computing. This is a rare opportunity to combine deep technical impact with strategic influence, building technology that matters while shaping the direction of a growing data observability company.

Responsibilities

Define and drive the long-term technical strategy and architecture for the Open Data Platform, aligning with business objectives and industry trends.
Own the design of the most complex, high-impact systems and establish architectural principles and patterns that scale across the organization.
Identify emerging technologies and industry trends; lead research and development initiatives that position Acceldata at the cutting edge of data platform innovation.
Serve as a recognized leader in the open-source community; drive Apache project contributions, represent Acceldata at conferences, and influence project roadmaps.
Collaborate with CTO, VP of Engineering, and Product leadership to translate business strategy into technical execution; provide technical due diligence for strategic initiatives.
Influence engineering practices, tools, and culture across multiple teams; establish best practices that elevate the entire engineering organization.
Mentor Staff Engineers and Senior Engineers; develop technical leadership capabilities across the organization.
Lead resolution of the most challenging technical problems spanning architecture, performance, scalability, and reliability.
Engage with strategic customers and partners on complex technical discussions; translate customer needs into platform capabilities.
Drive alignment across engineering, product, and operations on technical decisions with broad organizational impact.
Work across diverse environments: Bare Metals, VM, Kubernetes, multi-cloud, and hybrid architectures at enterprise scale.

Requirements

12+ years of hands-on software development experience with at least 8 years focused on distributed systems, big data platforms, or data infrastructure.
Proven track record of leading large-scale technical initiatives from conception to production across multiple teams.
Expert-level proficiency in Java or Scala; strong skills in Python and systems languages.
Deep expertise in distributed computing, including consensus protocols, distributed transactions, data replication, partitioning strategies, and optimization with modern table formats.
Extensive experience in architecting and scaling systems using Hadoop, Spark, Hive, Trino, Kafka, Flink, and related technologies at production scale (100s to 1000s of nodes).
Demonstrated ability to design and evolve complex systems that handle petabyte-scale data with high availability and performance requirements.
Expert knowledge of cloud-native architectures, Kubernetes orchestration, and multi-cloud deployment patterns.
Track record of diagnosing and resolving complex distributed system issues, including performance optimization, resource management, and failure mode analysis.
Significant contributions to major open-source projects; experience working with distributed global teams and open-source governance models.
Exceptional written and verbal communication skills; proven ability to influence technical direction across organizations and with external stakeholders.
Ability to balance long-term technical vision with near-term delivery requirements; experience making build vs. buy decisions.

DESIRED BACKGROUND

PMC member or committer status in Apache projects (e.g., Spark, Kafka, Hive, Hadoop, Iceberg, Flink, Trino).
Speaker at major conferences (ApacheCon, Spark Summit, Kafka Summit, QCon, etc.); published papers or widely-read technical content.
Experience building or contributing to query engines, optimizers, or execution frameworks.
Deep experience with modern lakehouse architectures, table formats (Iceberg, Delta, Hudi), and data mesh patterns.
Experience with ML infrastructure, feature stores, or MLOps platforms.
Experience scaling engineering organizations in high-growth environments.
Master's or PhD in Computer Science, with a focus on distributed systems, databases, or related fields.

At Acceldata, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.

is all about working with some of the best minds in the industry and experiencing a culture that values an ‘out-of-the-box’ mindset. If you want to push boundaries, learn continuously, and grow to be the best version of yourself, Acceldata is the place to be!

We also believe in providing our employees with the right tools and resources to help them excel at their jobs. We offer:

PTO Plan with unlimited negative balance
RRSP Plan
Up to 100% employer-paid benefit options for health, dental, and vision coverage
Supplemental Benefits
Apple Air Mac Equipment
Office gym access (includes workout equipment, basketball court, and showers)
Becoming part of the team that coined the term “Data Observability”!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

Define the Open Data Platform’s long-term technical strategy and architecture, lead complex initiatives involving scalability, performance, and reliability, and guide technical decisions across engineering, product, and operations. Represent Acceldata in the open-source community, contribute to Apache projects, mentor senior technical staff, and engage with strategic customers and partners.

Requirements

Requires extensive hands-on software development experience, including deep expertise in distributed systems, data infrastructure, and production-scale platforms, with expert proficiency in Java or Scala and strong Python skills. Candidates should have led large technical initiatives, contributed significantly to open-source projects, and be experienced with cloud-native architectures, Kubernetes, petabyte-scale systems, and cross-organizational technical leadership.

Skills

Distributed Systems Architecture
Java
Scala
Python
Big Data Platforms
Apache Spark
Apache Hadoop
Apache Kafka
Apache Flink
Apache Hive
Trino
Kubernetes
Cloud-Native Architecture
Multi-Cloud Deployment
Open-Source Contributions
Performance Optimization

Benefits

Unlimited Negative Balance PTO
RRSP Plan
Employer-Paid Health, Dental, And Vision Benefits
Supplemental Benefits
Apple Mac Equipment
Office Gym Access

Visa sponsorship

Not detected in the job text

Keywords

Open Data Platform
Data Observability
Distributed Systems
Distributed Computing
Java
Scala
Python
Systems Languages
Apache Hadoop
Apache Spark
Apache Hive
Trino
Apache Kafka
Apache Flink
Kubernetes
Cloud-Native Architecture
Multi-Cloud
Hybrid Architecture
Consensus Protocols
Distributed Transactions
Data Replication
Data Partitioning
Apache Iceberg
Delta Lake
Apache Hudi
Lakehouse Architecture
Data Mesh
Query Engines
Performance Optimization
Open-Source Governance

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