We are seeking a highly skilled Data Principal Engineer with strong leadership, communication, and collaboration abilities to join our dynamic team. In this exciting role, you will help us automate a robust and scalable data service used by numerous teams across the company. Key Responsibilities Build and maintain our data lake and data pipelines/services. Facilitate the movement of messages and implement data analytics jobs. Work directly with Application teams and Platform teams to enable the growth of the company’s data‑driven products. Design, develop, and operate highly reliable large‑scale data lake solutions. Partner closely with Applications teams to understand requirements and influence the data strategy by providing expert advice on design and architecture. Make critical decisions regarding technical directions, scalability, and system performance. Collaborate with cross‑functional teams to create innovative solutions. Optimize network configurations to ensure low‑latency communication and high availability. Implement data protection mechanisms to safeguard critical data processed from the edge to the core. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. 10+ years of hands‑on experience designing and building large‑scale distributed data platforms, with deep expertise in OLAP databases, query engines, data lakes, object storage, distributed file systems, and analytics infrastructure. Proven expert‑level experience with ClickHouse architecture, performance optimization, cluster design, data modeling, ingestion pipelines, storage engines, replication, partitioning, and large‑scale analytical workloads. Solid experience building modern data lake architectures around ClickHouse, including integration with open table formats such as Apache Iceberg, Parquet,



and Delta Lake. Excellent software engineering and coding skills with production experience in Python (including async programming), Golang, and C/C++. Deep understanding of high‑performance data processing, vectorized query execution, parallel/distributed compute frameworks, and low‑latency analytical systems. Experience with modern data processing and analytics frameworks such as Pandas, Polars, DuckDB, Dask, Ray, Prefect, Bodo, or equivalent technologies. Passion for designing and building scalable, high‑quality REST APIs and distributed services, while mentoring other engineers in API and platform design best practices. Strong expertise in infrastructure optimization, performance engineering, scalability, reliability, and operational excellence, with the ability to drive measurable improvements in latency, throughput, and availability. Strong understanding of cloud‑native distributed systems, including Kubernetes, containers, CI/CD, observability, infrastructure automation, and production operations. Experience deploying and operating large‑scale data platforms in AWS; experience with GCP andAzure is considered a plus. Strong understanding of networking and distributed systems fundamentals, including TCP/IP, DNS, HTTP/S, service discovery, and secure service‑to‑service communication. Demonstrated engineering rigor with a strong focus on software architecture, testing strategies, security, privacy, resiliency,



and operational ownership. Ability to independently lead architecture, design, development, testing, deployment, and production operations of complex distributed data systems from day one. Strong communication and leadership skills, with the ability to collaborate effectively across engineering, product, architecture, and executive stakeholders. Experience influencing technical direction, mentoring senior engineers, and acting as a technical leader for strategic platform initiatives. Highly desirable: Kubernetes certifications such as CKAD, CKA, or equivalent cloud‑native platform experience. Compensation Salary range of 160,000 - 180,000 CAD per year plus participation in a discretionary bonus plan. Final compensation will be based on skills, experience, and qualifications. Benefits Professional Development Budget Dedicated Wellness Days and Wellness Week Lifestyle Spending Account Employee Recognition Program Equal Opportunity Employer The company is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. The company will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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. #J-18808-Ljbffr

📌 Principal Data Developer - C$160,000 - C$180,000 A Year (Toronto)
🏢 United States Digital Space
📍 Toronto