- 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 setting ~ 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

📌 Data Quality developer, PYTHON (Toronto)
🏢 Jobtailor
📍 Toronto