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Added 2 hours ago
AB
Product Manager – Marketing & Product
Alberta Blue Cross
AB · Hybrid
- Full-time
…that deliver value, meet evolving customer needs, and achieve business goals. You’ll leverage market insights and performance data to identify opportunities and ensure ongoing product…
Added 2 hours ago
M
Manager, Change Enablement
Manulife
Toronto, ON
- Full-time
…requires strong leadership skills, including high emotional intelligence, stakeholder management, and the ability to influence and collaborate…
Added 2 hours ago
CM
Specialist, Reporting and Performance, Post Collection System – Alberta/Yukon - Hybrid
Circular Materials
AB
- Full-time
Work with Operations, Finance, Procurement, Business Intelligence and Analytics (BIA), Data Governance, IT, and other teams to define reporting needs and maintain consistent data practices.
Added 2 hours ago
D
Sr. Director, Sales
d1g1t
Toronto, ON
- Full-time
d1g1t is the industry’s first enterprise wealth management platform powered by institutional-grade analytics and risk management tools that allows firms to elevate the quality of their…
Added 2 hours ago
MF
Vice President, Global Supply Chain
McCain Foods
Toronto, ON
- Full-time
…leads McCain's global supply chain agenda, including Integrated Business Planning, global network planning, inventory strategy, supply chain analytics, digital supply chain transformation,…
Added 2 hours ago
KI
Transportation and Logistics Performance Analyst
Kruger Inc.
Montreal, QC
- Full-time
Evaluate and integrate emerging technologies, including artificial intelligence, to enhance analytics, process automation and decision support.
Added 2 hours ago
AE
Dir-Assistant, Strategic Planning
American Express
Toronto, ON
- Full-time
Shape enterprise strategy through annual and long-term planning, competitive intelligence and data analytics, and present recommendations to ICS Canada Leadership and American Express…
Added 2 hours ago
A
Staff Software Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
Partner with product, engineering leadership, and stakeholders to define technical roadmaps and translate business requirements into scalable solutions.
Added 2 hours ago
A
Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
…power today’s most critical technologies, including AI, LLMs, Analytics, and…
Added 2 hours ago
C
Associate Technology Leadership Advancement Program - Summer 2027
CIBC
Toronto, ON
- Full-time
…of the bank. This includes technology teams that align with business units like capital markets, wealth management, personal and business banking; teams that are responsible for our…
Added 2 hours ago
AI
Business Analyst - FINANCIAL CRIME - KYC / AML
Avanciers Inc.
Mississauga, ON
- $100,000 to $110,000 CAD / year
- Full-time
Avanciers Incorporated is hiring a Business Analyst - FINANCIAL CRIME - KYC / AML for one of our clients.
Added 2 hours ago
OI
Business Systems Analyst
OXARO Inc.
Ottawa, ON
- Contract
Document, analyze, and improve business and system processes, and assess policies, programs, and services to identify and recommend improvements.
Added 2 hours ago
IG
Global Head of Digital Strategy & Transformation
Ingenio Global
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Drive the data strategy, analytics, reporting and business intelligence agenda.
Added 2 hours ago
C
Director AI Enablement
Chartwell
Mississauga, ON
- Full-time
Work closely with FASTech, Service Management & Automation, Business Analysis & Quality Assurance, Data & Analytics, Cybersecurity, enterprise applications, and business leaders to align AI…
Added 2 hours ago
A
Analyst, FP&A
AtkinsRéalis
Montreal, QC
- Full-time
Support business decision-making with detailed and accurate financial information, actionable insights and recommendations based on your findings.
Added 2 hours ago
UH
Senior Project & Business Process Analyst - Digital PMO
University Health Network
Toronto, ON
- Contract
…data-driven, bring value to our stakeholders, and achieve UHN’s business objectives. We are seeking a results-driven, innovative individual who can take initiative to help implement various…
Added 2 hours ago
P
Deals Real Assets, Data Engineering & Digital Solutions, Senior Associate
PwC
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
Architect, design, and develop robust, end-to-end data pipelines utilizing Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
Added 3 hours ago
TR
Internal Audit Practitioner
Thompson Rivers University
Kamloops, BC
- $76,000 to $87,000 CAD / year
- Full-time
Experience in internal audit, external audit, risk, compliance, controls, data analytics, or related assurance/advisory work. Individuals without experience but with the required…
Added 3 hours ago
RT
Senior Software Developer
Russell Tobin
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Duration: 152 Business Days with Possible Extension
Added 3 hours ago
IC
Manager, Talent Development- EN
IAMGOLD Corporation
Toronto, ON
- Full-time
Work that builds capability across the business.
Added 3 hours ago
QM
Directeur principal, planification et analyse financières (FP&A) et partenariats d'affaires
Quantum Management Services Ltd.
Mirabel, QC
- $145,000 to $175,000 CAD / year
- Full-time
…personnes. Nous pouvons également utiliser des outils dotés d'intelligence artificielle pour soutenir certaines étapes du processus d'examen des…
Added 3 hours ago
RT
Business Systems Analyst
Russell Tobin
Ottawa, ON
- $60 to $80 CAD / hour
- Contract
…enhance its Cyber Security Assurance capabilities. Work alongside business and technology professionals to improve systems, streamline processes, and support innovative solutions, including…
Added 3 hours ago
T
Business Information Management Specialist-2
TD
Toronto, ON
- Full-time
…job-related knowledge, geographic location, and other specific business and organizational…
Added 3 hours ago
T
Data Scientist II
TD
Toronto, ON
- Full-time
Analytics, Insights, & Artificial Intelligence
Added 3 hours ago
Manager, Digital Channels (YouTube)
Blue Ant Media Inc.
Toronto, ON
Blue Ant Media (TSX: BAMI) is an international streamer, production studio, advertising sales and rights-management business. The company operates a diverse portfolio of free streaming and…

Acceldata

Principal Engineer - Open Source Data Platform (ODP)

Kitchener, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 8, 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: Oct 15, 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 long-term technical strategy and architecture for the Open Data Platform, lead complex system design and problem resolution, and guide innovation across engineering teams. Represent Acceldata in the open-source community, collaborate with executives and customers on technical direction, and mentor senior technical staff.

Requirements

Requires extensive 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, and petabyte-scale systems; a master's or PhD is listed as desired.

Skills

Distributed Systems
Java
Scala
Python
Big Data Platforms
Apache Spark
Hadoop
Hive
Trino
Kafka
Flink
Kubernetes
Cloud-Native Architecture
Lakehouse Architecture
Open-Source Contributions
Technical Leadership

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 Computing
Distributed Transactions
Consensus Protocols
Data Replication
Data Partitioning
Java
Scala
Python
Hadoop
Apache Spark
Hive
Trino
Kafka
Flink
Kubernetes
Multi-Cloud
Hybrid Architecture
Petabyte-Scale Data
Apache Iceberg
Delta Lake
Apache Hudi
Lakehouse Architecture
Data Mesh
Query Engines
Execution Frameworks
Open-Source Governance
Machine Learning Infrastructure
Feature Stores

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