drjobs Founding Engineer - DataPlatform

Founding Engineer - DataPlatform

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1 Vacancy
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Job Location drjobs

Toronto - Canada

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

About the role

Were looking for an engineer who thrives on building scalable data platforms and enjoys tackling complex backend challenges. This isnt just a data engineering roleyoull be designing and optimizing the data platform that powers our API managing everything from data streaming and storage to analytics features at terabyte scale and beyond.

You should be comfortable navigating both data and backend engineering with a solid foundation in software development. Youll work with advanced data architectures including Iceberg Flink and Kafka tackling largescale challenges and contributing to core product development using Java and Node.js. If youre excited by the opportunity to shape a highimpact platform and tackle diverse engineering problems wed love to hear from you.

What you will do:

  • Own projects aimed at enhancing data replication storage enrichment and reporting capabilities.
  • Build and optimize efficient streaming and batch data pipelines that support our core product and API.
  • Design scalable storage solutions for handling terabytes of IoT and timeseries data.
  • Develop and maintain realtime data systems to ingest growing data volumes.
  • Implement distributed tracing and observability patterns to improve monitoring and troubleshooting.
  • Write clean maintainable code in Java and Node.js for various platform components.
  • Shape architectural decisions to ensure scalability and reliability throughout the data platform.

The ideal candidate will have:

  • 4 years of experience in platform engineering or data engineering.
  • 2 years of experience designing and optimizing data pipelines at TB to PB scale.
  • Strong system design skills with a focus on data workflows.
  • Familiarity with lakehouse architectures (e.g. Iceberg Delta Hudi Snowflake).
  • Experience with realtime data processing tools like Kafka Spark and Flink.
  • Knowledge of distributed systems and largescale data challenges.
  • Proficient in Java with a focus on clean maintainable code.
  • Strong problemsolving skills and a collaborative mindset.

Tech Stack

  • Languages: JavaScript / TypeScript Java
  • Infrastructure as Code (IaC): SST AWS CDK
  • Cloud Services:
    • Compute and Orchestration: AWS Lambda AWS Step Functions
    • Storage: Amazon S3 Amazon DynamoDB
    • Messaging and Events: Amazon SQS Amazon EventBridge
  • Data Processing: AWS Glue Apache Flink Kafka Iceberg DuckDB
  • CI/CD: GitHub Actions

Employment Type

Full Time

Company Industry

About Company

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