Databricks Platform Engineer

The role of Databricks Platform Engineer involves leading complex business reengineering development projects and to solve organizational problems through IT solutions using Big Data concepts, Platform tools and software engineering languages as required.

Essential capabilities
• Customer Focus
• Ensures Accountability
• Collaborates
• Cultivates Innovation
• Plans and Executes
• Demonstrates Self Awareness
• Nimble Learning
• Very good with Communication
• Very good Documentation skills
• Curious
• Confident Communicator
• Delivers results based on commitments
• Plan and Aligns
• Drives Engagement though disciplines and stakeholder engagement

Other capabilities
• Able to navigate a large sized organisation & build relationships with stakeholders using informal and formal networks
• Good communication verbal and written skills - both listening & engaging
• Workshop and facilitation skills
• Strong planning & delivery capabilities
• Strong analysis capabilities

Experience

•  Experience with Databricks at the platform level is critical.
•  In depth knowledge and understanding of Databrick features and capabilities
•  Certification(s) preferred.
•  Experience with a range of core AWS and/or Azure Services.
•  Knowledge of data lakehouse principles.
•  Experience as an architect with technology solutioning is highly desirable
•  Data engineering experience on large scale systems.
•  Highly proficient in DevOps tooling, e.g. Git, Jenkins, Terraform, Artifactory, Docker, Kubernetes, ServiceNow, AppDynamics, Splunk.
•  Proficient in software development using Python.
•  Proficient in SQL.
•  Proficient in scripting languages e.g. bash, groovy.
•  Working knowledge of micro-frontends / microservices architecture & container-based application development.
•  Proficient in solution design.

Qualification Requirements
•  Degree in information systems, computer science or similar
•  Actively contribute to planning sessions and other Agile ceremonies across Foundational Platform Engineering.
•  Design, build & test components and frameworks for NAB data lakehouse.
•  Design detailed solutions.
•  Manage a functional area or a collection of related activities to achieve identified objectives. Employees in this group would be expected to provide advice for a variety of diverse tasks or problems based on the application of judgement in their area of expertise/responsibility.
•  Continuously improve platform performance, efficiency & capabilities and maintain currency.
•  Analyse production incidents when they occur and help work on fixes to resolve problems.
•  Collaborate with customers (engineers), to establish their pain points and help drive product backlog.
•  Coach / mentor group 3 engineers within the team.
•  Operate autonomously and be a problem solver.

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