Databricks Platform Engineer, AI and Data, Technology Consulting at EY | AU | Rezi

Databricks Platform Engineer, AI and Data, Technology Consulting at EY

Databricks Platform Engineer, AI and Data, Technology Consulting

EY · AU

Yesterday

Databricks Platform Engineer, AI and Data, Technology Consulting

EY · AU

2 days ago
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About the Role

As a Databricks Platform Engineer, you will design, build and optimise scalable cloud-based data platforms that support advanced analytics, AI and data engineering workloads. Working closely with data engineers, architects, and business stakeholders, you will play a key role in enabling secure, high-performing and reliable Databricks environments that drive business outcomes.

Responsibilities

  • Design, build and maintain scalable Databricks-based data platforms across Azure or AWS.
  • Configure and manage Databricks workspaces, clusters, jobs, workflows, permissions and platform services to support data engineering, analytics and AI use cases.
  • Support the implementation of Lakehouse architectures using Databricks, Apache Spark, Delta Lake, Unity Catalog and related cloud-native services.
  • Develop and maintain infrastructure-as-code, CI/CD pipelines and automation to support repeatable, reliable platform delivery.
  • Implement platform security, access controls, governance, monitoring and operational standards across cloud and Databricks environments.
  • Work with data engineers, AI engineers, and architects to design and implement platform patterns which support ingestion, transformation, orchestration, storage and consumption requirements.
  • Troubleshoot platform issues across Databricks, Spark and cloud services, working with technical teams to resolve incidents and improve stability.
  • Document platform designs, configuration patterns, operational processes and technical standards.
  • Support and guide team members, contributing to delivery planning and technical direction.

Requirements

  • Strong experience designing and implementing cloud-based data platforms (Azure and/or AWS)
  • Hands-on experience working with the Databricks Data Intelligence Platform, including workspace configuration, compute management, jobs, workflows and platform administration activities.
  • Proficiency in Databricks, Apache Spark, Delta Lake, Unity Catalog and related data engineering technologies
  • Experience supporting secure and governed data platform environments, including identity, access management, permissions, secrets, networking and data governance controls.
  • Knowledge of infrastructure-as-code and DevOps practices (e.g. Terraform, CI/CD pipelines, Git-based workflows and automated deployment processes).
  • Experience implementing platform security, governance and monitoring frameworks.
  • Strong problem-solving and analytical capability, with a practical approach to working through technical issues.
  • Excellent communication skills with the ability to engage technical and non-technical stakeholders.
  • Experience contributing to or leading delivery within a team environment, including working with engineers, architects and stakeholders to achieve shared outcomes.
  • Experience with AI/ML platforms, model serving and MLOps practices within Databricks.
  • Experience with platform observability, monitoring and optimisation tools.
  • Experience working with data visualisation and reporting tools such as Power BI or Tableau.
  • Databricks certifications and experience implementing enterprise-scale Lakehouse solutions would be highly regarded.

Skills

  • Databricks
  • Apache Spark
  • Delta Lake
  • Unity Catalog
  • Azure
  • AWS
  • Infrastructure-as-code
  • CI/CD pipelines
  • DevOps
  • Terraform
  • Git
  • AI/ML platforms
  • Model serving
  • MLOps
  • Observability
  • Monitoring
  • Optimisation tools
  • Data visualisation
  • Power BI
  • Tableau

Location

  • Naarm – Melbourne
  • Meanjin – Brisbane
  • Warrang – Sydney

Work Type

  • Hybrid
  • Flexible work arrangements

Benefits

  • Yearly wellness incentive
  • Access to additional 8 weeks of flex leave per year
  • Family-friendly policies
  • Up to 26 weeks of gender-neutral paid parental leave

About the Company

  • At EY, we’re all in to shape your future with confidence.
  • We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
  • Join EY and help to build a better working world.

Equal Opportunity

  • Inclusiveness is core to who we are and how we work together, driving value for our people and for our business. We encourage applications from people of all ages, nationalities, abilities, cultures, sexual orientations, and gender identities and are committed to providing an equitable and barrier free recruitment experience for all. We encourage you to share any support and adjustments you need to be your best and participate equitably in our recruitment process. We understand sharing your needs with us can be daunting, so if you have questions before or during your application, we welcome you to get in touch at contactrecruitment@au.ey.com or +61 3 8650 7788 (option 2). Anything you tell us will be kept completely confidential.