• Build and evolve the Databricks-based data platform used for product features, machine learning, and internal reporting
• Design and develop reliable and scalable data ingestion and transformation pipelines
• Model raw data into clean, reliable datasets powering product features and internal analytics
• Build platform abstractions and tooling improving developer experience for data producers and consumers
• Improve observability, testing, and monitoring for reliability and performance
• Manage and contribute to data governance, security, compliance, and access controls
• Contribute to platform standards and architecture as the data platform scales
• Collaborate with software development, machine learning, product, and analytics teams to support data use cases

Requirements

6+ years of experience as a data developer in a modern, production-grade cloud data platform (Databricks or similar equivalent)

Experience operating under ambiguity and making technical tradeoffs that balance velocity and value delivery with maintainability and technical debt

Strong Python and SQL skills

Experience with CDC pipelines

Experience managing cloud infrastructure with Terraform (or similar infrastructure-management equivalent)

Experience building CI/CD workflows using DABs and GitHub Actions (or similar)

Experience in query optimization, resource allocation and management, cost management, and data lake performance

Experience working in a fast-paced, agile environment

Expert level of English, both spoken and written, required





Knowledge of compliance and regulatory frameworks (e.g., GDPR, CCPA, SOC2, FedRAMP) considered for extra consideration

Experience with event-streaming with Kafka and Flink (or similar data-streaming architectures) considered for extra consideration

Backend software development experience, including application data storage and event-driven architecture considered for extra consideration

Experience building and operating vector databases and RAG considered for extra consideration

Core Competencies
Demonstrates expertise in building and evolving Databricks-based data platforms, focusing on data ingestion, transformation, and governance. Proficient in Python, SQL, and managing cloud infrastructure, with a solid emphasis on compliance and performance optimization.

Highest-signal resume keywords

Databricks Data Platform Development

Python Programming

SQL Proficiency

Cloud Infrastructure Management

CI/CD Workflow Development

ATS Optimization Keywords
Hard Skills

Data Ingestion Pipelines

Data Transformation

Query Optimization

Event-Streaming with Kafka

CDC Pipelines

Data Lake Performance

Vector Databases

Event-Driven Architecture

Terraform

GitHub Actions

Soft Skills

Collaboration

Problem-Solving

Adaptability

Industry Keywords

Data Governance

Compliance

GDPR

CCPA

SOC2

FedRAMP

Agile Environment

Tools & Technologies

Databricks

Terraform

GitHub Actions

Kafka

Flink

#J-18808-Ljbffr

📌 Senior Data Developer (Ontario)
🏢 Jobtailor
📍 Ontario