Databricks Architect
3 weeks ago
Responsibilities:
- Design, deploy, and manage Databricks clusters on Google Cloud Platform (GCP), ensuring optimal performance, scalability, and reliability.
- Provide expertise in Databricks architecture, configuration, and administration, following best practices and industry standards.
- Collaborate with data engineering, data science, and analytics teams to understand their requirements and provide technical guidance and solutions.
- Optimize Databricks workloads and processes for performance, cost-efficiency, and scalability.
- Monitor and troubleshoot Databricks clusters, identifying and resolving issues proactively.
- Implement security measures and ensure compliance with data governance and privacy regulations.
- Design and implement data pipelines and workflows, integrating Databricks with other GCP services and tools.
- Stay up to date with the latest advancements in Databricks, GCP, and data engineering technologies, and evaluate their applicability to our environment.
- Mentor junior team members, providing guidance and support in Databricks administration and architecture.
Requirements:
- Minimum of 5 years of experience as a Databricks Admin/Architect, with a strong focus on Google Cloud Platform (GCP).
- Extensive experience in designing, deploying, and managing Databricks clusters, notebooks, jobs, and libraries.
- Deep understanding of Databricks architecture, configuration, and performance optimization techniques.
- Strong knowledge of GCP services, including Compute Engine, BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
- Proficiency in scripting languages like Python or Scala for automation, terraform, and data engineering tasks.
- Experience with data engineering principles and tools, such as ETL, data pipelines, and data modeling.
- Strong troubleshooting and problem-solving skills, with the ability to identify and resolve complex issues in a timely manner.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
- GCP certifications, such as Google Cloud Certified - Data Engineer or Google Cloud Certified - Professional Cloud Architect, are highly desirable.
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