Principal Engineer - Open Source Data Platform (ODP)

Acceldata; Kitchener; On-site; CAD 120,000 - 160,000; Full time

Job summary

A leading data observability company is searching for a Principal Engineer in Kitchener, Canada, to define the technical strategy for their Open Data Platform. This full-time on-site position involves shaping the future of enterprise data solutions and leading large-scale initiatives in an innovative environment. The ideal candidate will have significant experience in distributed systems, advanced knowledge of Java or Scala, and a passion for open-source technology. Opportunity for mentorship and collaboration in a global community.

Qualifications

• 12+ years of software development experience; 8 years in distributed systems.
• Expert-level proficiency in Java or Scala; strong skills in Python.
• Deep expertise in consensus protocols and data replication.

Responsibilities

• Define long-term technical strategy for the Open Data Platform.
• Own the design of complex, high-impact systems.
• Lead research initiatives in emerging technologies.

Skills

Java or Scala

Python

Distributed computing

Hadoop

Spark

Education

Master's or PhD in Computer Science

Tools

Kubernetes

Flint

Kafka

Job description

About the Role

We are seeking a Principal Engineer with a minimum of 14 years of experience to serve as a technical visionary and thought leader for the Acceldata 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.

This is a full-time, on-site position, open to candidates with valid work authorization.

Why Join Us

As a Principal Engineer at Acceldata, you will be at the forefront of shaping the future of enterprise data platforms. You'll define the technical vision for systems that power mission-critical workloads across the world's largest organizations. Your decisions will influence not just our platform, but 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 company in the data observability space.

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; 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.

Mandatory Skills & Qualifications

• 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 optimisation 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 Skills (Bonus)

• 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 focus on distributed systems, databases, or related fields.

To Apply

Please submit your resume and cover letter to Person at File by Date. We look forward to reviewing your application!