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Principal Data Developer

at BlueCat

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Posted 2 months ago

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About the role

  • Data Principal Engineer for BlueCat's Intelligent NetOps products. Building data lakes and maintaining data services with cross-functional collaboration.

Responsibilities

  • You will be responsible for building our data lake, maintaining our data pipelines / services and facilitating the movement of messages and implementing data analytics jobs.
  • Work directly with the Application teams and Platform teams to enable growth of the BlueCat data-driven products.
  • Design, develop, and operate highly reliable large-scale data lake.
  • 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.

Requirements

  • 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.
  • Strong 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 and Azure 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.

Benefits

  • A Professional Development Budget
  • Dedicated Wellness Days and Wellness Week
  • A Lifestyle Spending Account
  • An Employee Recognition Program

Job title

Software Engineer

Job type

Full Time

Experience level

Lead

Salary

CA$160,000 - CA$180,000 per year

Degree requirement

Bachelor's Degree

Tech skills

ApacheAWSAzureCloudDistributed SystemsDNSGoogle Cloud PlatformKubernetesPandasPythonRayTCP/IPGo

Location requirements

HybridTorontoCanada

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