- 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 casesRequirements- 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- Solid 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 considerationCore CompetenciesDemonstrates 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 DevelopmentATS Optimization KeywordsHard Skills- Data Ingestion Pipelines- Data Transformation- Query Optimization- Event-Streaming with Kafka- CDC Pipelines- Data Lake Performance- Vector Databases- Event-Driven Architecture- Terraform- GitHub ActionsSoft Skills- Collaboration- Problem-Solving- AdaptabilityIndustry Keywords- Data Governance- Compliance- GDPR- CCPA- SOC2- FedRAMP- Agile EnvironmentTools & Technologies- Databricks- Terraform- GitHub Actions- Kafka- Flink#J-18808-Ljbffr

📌 Senior Data Developer (Toronto)
🏢 Dialogue
📍 Toronto