A senior individual contributor role focused on delivering strategic technical training on the Data Intelligence Platform and setting instructional quality standards for a global community of instructors.
Responsibilities
Lead associate- and professional-level instructor-led training across most of the Databricks catalog, virtual and in person.
Partner with curriculum teams on new course development and curriculum revamps so content reflects real delivery needs.
Mentor Databricks Certified Instructors and training partner instructors globally with timely, candid, actionable feedback.
Use CSAT, NPS, and skill-progression data to identify and implement improvements in learner outcomes, instructor operations, tooling, and scheduling.
Advise delivery leadership and account-facing teams on training plans, priorities, and emerging trends.
Senior Data Scientist who designs, develops, and implements machine learning models, AI systems, and statistical modeling to generate actionable insights for business problems and product development.
Compensation
Pay Range: $108,960.00 - $163,440.00 Annual
Responsibilities
Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models).
Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques.
Develops and applies novel models on customer data to identify areas to increase profits and reduce losses.
Partners with experimentalists to translate models into testable hypotheses.
Lead and coordinate data testing activities for CIBC’s FCERT ET QA Team, overseeing test case execution, coaching team members, and ensuring high-quality deliverables.
Compensation
competitive salary, incentive pay, banking benefits, a benefits program, defined benefit pension plan, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program
Responsibilities
Lead investigation and translation of business requirements into test cases
Design and manage end-to-end testing activities for various projects
Provide coaching and mentorship to team members
Identify obstacles or risks and provide status updates
Ensure test deliverables are approved and aligned with project goals
Design and build interactive, user-facing data and AI applications on the Databricks platform, focusing on front‑end development and user‑centric workflow design.
Responsibilities
Design, develop, and deploy interactive data and AI applications using Databricks Apps
Build React‑based user interfaces and reusable front‑end components using TypeScript/JavaScript, HTML, and CSS
Integrate applications with Databricks capabilities, including Unity Catalog, Delta tables, Databricks SQL, AI/BI dashboards, Genie, MLflow, and Databricks REST APIs
Integrate AI and LLM features through secure APIs and Databricks Model Serving endpoints
Develop lightweight back‑end services and APIs using Python (e.g., FastAPI, Flask) or Node.js
Requirements
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience)
Nice to have: Python app frameworks supported by Databricks Apps (Streamlit, Dash, Gradio)
Nice to have: 5+ years of experience in application development
Nice to have: Experience building data‑ or AI‑driven applications, including LLM‑enabled or generative AI user experiences
Nice to have: Experience operationalizing ML models or analytical logic into production applications
Provides technical direction, guidance and support for architectural development that encompasses multiple technology disciplines, platforms and applications.
Compensation
Pay Range: $111,605.00 - $131,300.00
Responsibilities
Design and implement scalable Databricks Lakehouse architectures supporting enterprise data processing, analytics, and high-volume workloads.
Develop data solutions using Databricks, Python, PySpark, Databricks SQL, and Delta Lake.
Modernize and migrate complex Oracle SQL and PL/SQL workloads to Databricks and cloud-based data platforms.
Design and implement high-volume ETL/ELT pipelines, data ingestion, transformation, orchestration, and integration solutions.
Optimize Databricks performance, including SQL queries, data layouts, compute utilization, jobs, and distributed data processing.
Lead solution architecture across APRA’s data products and platforms, initially focusing on Azure Databricks to modernize legacy platforms and establish secure, scalable and sustainable data solutions.
Responsibilities
Lead solution architecture across APRA’s data products and platforms, initially focusing on Azure Databricks
Define current, transition and target-state architectures and technology roadmaps
Lead Databricks architecture across platform design, governance, orchestration, security, resilience, observability, performance and cost
Develop solution designs and architecture decisions and guide solutions through governance
Define reusable data, integration, engineering and DataOps patterns, including CI/CD, automated testing and infrastructure as code
Staff Technical InstructorNewDatabricks · Singapore, Singapore
Senior Product Manager, Data PlatformCurinos Inc · US
Systems Architect 2 - Cloud Data Engineer (Databricks)U.S. Bank National Association · Cincinnati, US
Data Products Solution ArchitectAustralian Prudential Regulation Authority (APRA) · Sydney, Australia
Senior Application Developer with DatabricksSenterprise · Remote, Sweden+1 more