Databricks Platform

What you'll do

• Design, implement, and manage scalable and secure Databricks platforms to ensure optimal performance and reliability.
• Create and manage Databricks work spaces and clusters, including right-sizing and lifecycle management of resources.
• Automate infrastructure provisioning and deployment using Infrastructure-as-Code tools like Terraform, Git Lab CI/CD, and scripting languages (Python, Bash, Power Shell).
• 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.

• Required hands‑on experience in architecting, deploying, managing, and supporting Azure Databricks Platform, Azure Data Lake 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, Power Shell 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.

Data Bricks – Data Engineering.

AI TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. AI TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.

Nor will AI TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.