Staff Data Platform Engineer

TekRek; Toronto; On-site; CAD 130,000 - 190,000; Full time

Job summary

TekRek is partnering with a high-growth product company building a data platform for a modern telematics API. You will own the long-term buildout of the data platform powering the API and analytics layer, driving architectural direction and delivering scalable abstractions and reusable components.

You will design and implement streaming and batch pipelines, optimize storage for petabytes of IoT and time-series data, and ensure observability across systems.

Qualifications

• 8+ years of experience in platform or data engineering.
• 6+ years designing and optimizing data pipelines at TB to PB scale.
• Strong Java proficiency with a focus on clean, maintainable production code.
• Strong system design skills for big data and real-time workflows.
• Experience with lakehouse and streaming ecosystems such as Iceberg or Delta, plus Kafka or Flink or Spark.
• Languages: Java, Python
• Framework: Spring Boot
• Streaming: AWS Kinesis, Kafka, Flink
• ETL: AWS Glue, Spark
• Serverless: SQS, EventBridge, Lambda, Step Functions

Responsibilities

• Own projects enhancing data replication, storage, enrichment, and reporting capabilities.
• Build and optimize streaming and batch pipelines that support the core product and API.
• Design scalable storage solutions for petabytes of IoT and time-series data.
• Develop and maintain real-time ingestion systems to support growing data volumes.
• Implement distributed tracing, data lineage, and observability to improve monitoring and troubleshooting

Skills

Platform engineering

Data engineering

Java

System design

Real-time data processing

Tools

Iceberg

Delta Lake

Kafka

Flink

Spark

AWS Glue

AWS Kinesis

SQS

EventBridge

Lambda

Step Functions

Spring Boot

Python

Job description

TekRek is partnered with a high-growth product company building the data platform behind a modern telematics API, supporting real-time ingestion, storage, enrichment, and analytics for high-volume IoT and time-series workloads at petabyte scale.

The Role

This is not a traditional data engineering seat; you will own the long-term buildout of the data platform powering the API and analytics layer, drive architectural direction, and partner with product, engineering, and leadership to deliver scalable abstractions and reusable components.

What You’ll Do

• Own projects enhancing data replication, storage, enrichment, and reporting capabilities
• Build and optimize streaming and batch pipelines that support the core product and API
• Design scalable storage solutions for petabytes of IoT and time-series data
• Develop and maintain real-time ingestion systems to support growing data volumes
• Implement distributed tracing, data lineage, and observability to improve monitoring and troubleshooting

What You Bring (Must Have)

• 8 plus years of experience in platform engineering or data engineering
• 6 plus years designing and optimizing data pipelines at TB to PB scale
• Strong Java proficiency with a focus on clean, maintainable production code
• Strong system design skills for big data and real-time workflows
• Experience with lakehouse and streaming ecosystems such as Iceberg or Delta, plus Kafka or Flink or Spark
• Languages: Java, Python
• Framework: Spring Boot
• Streaming: AWS Kinesis, Kafka, Flink
• ETL: AWS Glue, Spark
• Serverless: SQS, EventBridge, Lambda, Step Functions