Job Description:
Responsibilities
Architecture and Design:
- Provide input into the strategic technology direction for our data platform.
- Architect scalable and efficient data solutions using Azure Databricks.
Data Pipelines and Integration:
- Design, implement, and manage data pipelines.
- Ensure seamless data integration across various systems.
- Optimize data processing workflows.
Infrastructure Automation:
- Develop Terraform Infrastructure as Code (IaC) to automate Databricks environment deployments.
- Create a library of scripts for automating MLOps environments.
Performance Monitoring and Tuning:
- Monitor and analyze database performance.
- Fine-tune and optimize the data platform.
Collaboration and Communication:
- Work closely with interdisciplinary teams, including engineers, data scientists, and business stakeholders.
- Communicate effectively to ensure alignment with business goals.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Proven experience as a Platform Engineer or similar role.
- Strong expertise in Databricks and Microsoft Azure.
- Experience with Infrastructure as Code (IaC) and automation tools, preferably Terraform.
- Knowledge of data catalog tools (e.g., Microsoft Purview).
- Excellent problem-solving skills and ability to work in a collaborative environment
Skill: "Platform Engineer" AND Azure AND Databricks AND IAC