This role is hybrid and requires you to be at our client's and/or downtown Toronto office at a minimum 2 days per week - subject to change at any time.We are seeking a skilled Databricks Developer to design, develop, and optimize scalable data solutions on the Databricks platform. The ideal candidate will be responsible for building and managing database schemas, developing procedures for Operational Data Store (ODS) environments using Databricks Delta Lake tables, and ensuring efficient data archiving and document indexing processes. The role requires strong expertise in data engineering, cloud-based analytics platforms, and data lifecycle management.Your future duties and responsibilitiesDesign and develop database schemas and procedures for Operational Data Store (ODS) using Databricks Delta Lake tables.Build and maintain scalable ETL/ELT pipelines within the Databricks ecosystem.Define and implement data contracts for data archiving and document indexing processes.Ensure efficient and reliable data archiving, retention, and retrieval mechanisms.Develop and optimize document indexing strategies to improve data accessibility and search performance.Collaborate with business analysts, architects, and data teams to understand data requirements and translate them into technical solutions.Monitor and optimize data processing performance, storage efficiency, and query execution.Implement data quality, governance, and security standards across data platforms.Support troubleshooting, performance tuning, and production issue resolution.Maintain technical documentation for data models, workflows, and integration processes.Required qualifications to be successful in this roleStrong 5+ years of experience with Databricks and Apache SparkExpertise in Delta Lake architecture, including table design, optimization,



and managementProficiency in SQL and PySpark / Scala for building data engineering solutionsExperience designing and implementing enterprise-grade database schemasKnowledge of data lifecycle management, including archiving and retention strategiesUnderstanding of data contracts, metadata management, and data governance principlesExperience with cloud platforms such as Azure, AWS, or GCPFamiliarity with ETL/ELT frameworks and data pipeline orchestration toolsStrong analytical thinking, troubleshooting, and performance optimization skillsPreferred QualificationsExperience working on large-scale enterprise data platformsKnowledge of document management and indexing systemsExposure to CI/CD pipelines and DevOps practices for data engineeringDatabricks certification is an added advantageEducation & ExperienceBachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field5+ years of experience in Databricks / Data Engineering development roles"the company is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000–$145,000. This role is an existing vacancy."At the company, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all the company partners to thrive. As an equal‑prospect employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.#J-18808-Ljbffr

📌 Data Brick Developer - $95,000 - $145,000 A Year (Toronto)
🏢 United States Digital Space
📍 Toronto