• 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 up-to-date, 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 strong 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 (Toronto)
🏢 Jobtailor
📍 Toronto