Senior Data Platform Engineer - Databricks & Cloud

TekRek; Canada; On-site; CAD 110,000 - 160,000; Full time

Job summary

TekRek is seeking a Senior Data Engineer to design and deliver scalable data platforms for client environments. You will balance hands-on engineering with architecture and leadership, working closely with stakeholders to translate requirements into reliable data solutions.

You will build batch and streaming pipelines with Databricks, Spark, Kafka, and Delta Live Tables, migrate workloads to modern lakehouse architectures, and drive governance, security, and performance improvements across

Qualifications

• 5+ years of experience across data engineering, data architecture, or analytics design.
• Strong SQL and Python, PySpark, or Scala skills.
• Hands-on experience with lakehouse/warehouse tech such as Databricks, Snowflake, Redshift, or Synapse; cloud familiarity (AWS or Azure).
• Experience building streaming ingestion with Kafka and Spark Structured Streaming; solid data modeling basics.

Responsibilities

• Design modern data platforms spanning lakehouse, warehouse, ingestion, transformation, and analytics workloads.
• Build and optimize batch and streaming pipelines using Databricks, Spark, Kafka, Delta Live Tables, and Autoloader.
• Turn business and analytics requirements into practical data models, integration patterns, and technical architectures.
• Lead data modernization and migration work, including moving traditional warehouse workloads onto Databricks platforms.
• Improve platform reliability, performance, governance, and security while providing technical guidance to engineers and clients.

Skills

SQL

Python

PySpark

Scala

Tools

Databricks

Snowflake

Redshift

Synapse

AWS

Azure

Kafka

Spark Structured Streaming

Delta Live Tables

Autoloader

Azure DevOps

GitHub Actions

GitLab CI

Job description

TekRek is seeking a Senior Data Engineer to design and deliver scalable data platforms for client environments. You will balance hands-on engineering with architecture and leadership, working closely with stakeholders to translate requirements into reliable data solutions.

You will build batch and streaming pipelines with Databricks, Spark, Kafka, and Delta Live Tables, migrate workloads to modern lakehouse architectures, and drive governance, security, and performance improvements across