Databricks Platform Admin

Databricks Platform Admin Azure Native Data Platforms, Technology

What you'll do

Design, implement, and manage scalable and secure Databricks platforms to ensure optimal performance and reliability.

Create and manage Databricks workspaces and clusters, including right-sizing and lifecycle management of resources.

Automate infrastructure provisioning and deployment using Infrastructure-as-Code tools like Terraform, GitLab CI / CD, and scripting languages (Python, Bash, PowerShell).

Monitor platform health, performance, and cost by building dashboards and integrating with monitoring tools.

Troubleshoot and resolve issues related to cluster configuration, job failures, and performance bottlenecks within Databricks environments.

Collaborate with cross-functional teams including data scientists, ML engineers, and product teams to deploy and maintain data pipelines and services on Databricks.

Implement security and governance policies, including user management, access controls, and compliance adherence using Unity Catalog and other Databricks security features.

Optimize compute and storage resources for cost efficiency without compromising performance, leveraging features like Delta Lake and Photon.

Stay updated with new Databricks features and coordinate with product teams to evaluate and adopt them.

Document platform architecture, best practices, troubleshooting guides, and provide mentorship to junior engineers on platform usage and optimization

Being part of architect's forum, interact with application owners and users and provide viable solutions based on their requirement

Coordinate between offshore team and customer stakeholders to ensure the requests are fulfilled on time

What you'll need

Required hands-on experience in architecting, deploying, managing, and supporting Azure Databricks Platform, Azure Datalake and related solutions.

Required hands-on experience working with Cloud provider tools and architecture (Azure) .

Required hands-on experience using scripting languages and command-line (CLI) tools such as Ansible, SQL, Terraform, Azure CLI, Databricks CLI, PowerShell and / or Bash.

Preferred experience in management and tuning of data platforms like Azure ADLS storage and Databricks.

Knowledge working with and maintaining CI / CD pipelines and versioning tools such as Git preferred.

Knowledge with a broad set of data ingestion and data pipeline patterns, and associated tools like (Qlik Replicate, Qlik Compose, Databricks, Kafka, Matillion ELT and Snowflake Services)

Experience with working in an agile product development team

Excellent communication skills and ability to articulate system designs and patterns to varying levels of leadership.

Own the solutions and demonstrate leadership in working with teams