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Added 27 mins ago
SR
Senior Software Engineer
Sage Recruiting Inc.
Toronto, ON
- $180,000 to $220,000 CAD / year
- Full-time
They’re hiring multiple engineers, all full-stack with a backend focus, to work on the core product. You could also mix in some ETL work or work on their RAG engine in Python if that’s of…
Added 28 mins ago
VC
Staff Software Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
We're hiring a Staff Software Engineer to own architecture and design decisions for our platform, including the modernization of legacy enterprise systems into modern, cloud-capable…
Added 56 mins ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
We are looking for a Data Engineer with strong backend engineering fundamentals and hands‑on experience building scalable, high‑performance data pipelines. The ideal candidate comes from a…
Added 56 mins ago
V
Python Software Engineer
Varonis
Vancouver, BC · Greater Vancouver, BC
- Full-time
Senior Software Engineer – Secure AI Platform (Vancouver, On-Site)
Added 1 hour ago
Product Security Engineer
Asana
Vancouver, BC
We're looking for a Product Security Engineer to join our Product Security team in Vancouver. You'll be a key member of our security engineering team, partnering directly with product and…
Added 1 hour ago
F
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
Backend: Advanced Python (FastAPI/Django). Familiarity with Document AI or unstructured data parsing is a plus.
Added 1 hour ago
W
Technical Consultant I, Water Engineer
Worley
Vancouver, BC
- Full-time
The Technical Consultant I, Water Engineer, supports the delivery of high-quality water and wastewater treatment consulting services for industrial clients. Working as part of…
Added 1 hour ago
W
Technical Consultant I, Water Engineer
Worley
Calgary, AB
- Full-time
The Technical Consultant I, Water Engineer, supports the delivery of high-quality water and wastewater treatment consulting services for industrial clients. Working as part of…
Added 1 hour ago
S
Analytics Engineer - Consultant or Senior Consultant
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Proficiency in SQL and/or Python; experience with semantic layer tools and analytics platforms (e.g., dbt, Looker, Power BI, Tableau, Sigma)
Added 1 hour ago
3T
Site Reliability Engineer
360 Technology
Toronto, ON
- Full-time
…BOT management, TLS, DNS and cache invalidation – together with the release pipeline, the integrations on the page, and the observability practice that has to be built from real-user…
Added 2 hours ago
M
Back-End Software Engineer
Manulife
Toronto, ON
- Full-time
As a Back-end Software Engineer within Group Functions Technology, you will be a key member building technology which supports our global operations. The ideal candidate has a curious mind,…
Added 2 hours ago
TI
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Strong development skills in Python (most important), along with Java, Node.js, Go, and C/C++
Added 3 hours ago
P
Marketing Data Analytics Engineer (CA)
PointClickCare
Mississauga, ON
- Full-time
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not…
Added 3 hours ago
Bilingual Data Engineer
CMHC - SCHL
Ottawa, ON · Montreal, QC
We are also committed to advancing reconciliation with Indigenous Peoples and supporting the meaningful inclusion of First Nations, Inuit, and Métis voices and priorities. While this…
Added 3 hours ago
I
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 3 hours ago
I
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 3 hours ago
PI
MLOps Engineer
Planitar Inc.
Waterloo, ON
- $120,000 to $150,000 CAD / year
- Full-time
Strong Python; able to work with C++ codebases.
Added 3 hours ago
P
MLOps Engineer
Planitar
Waterloo, ON
- Full-time
Strong Python; able to work with C++ codebases.
Added 4 hours ago
Field Application Engineer (Integrated Photonics)
Axiomatic_AI
Toronto, ON
We are seeking an experienced Field Application Engineer with expertise across the PIC development lifecycle - from device and circuit design through simulations, tapeout, characterization,…
Added 4 hours ago
I
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 5 hours ago
MF
SRE/DevOps Engineer
Magnet Forensics
Canada
- Full-time
With employees based around the world, Magnet Forensics has been expanding our global presence. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter…
Added 5 hours ago
1
Applied AI Engineer - Evaluation & Reliability
15Rock
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Applied AI Engineer - Evaluation & ReliabilityThe problem you'd own
Added 7 hours ago
A
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 7 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 8 hours ago
K
Senior Software Engineer – DevTest / QA Automation
Kaseya
Toronto, ON
- Full-time
Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain robust automated testing capabilities across enterprise software platforms.

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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