Databricks Architect - Remote

Overview

Accellor is seeking an experienced and highly skilled Databricks Architect to join our team, focusing on designing, implementing, and maintaining Databricks solutions for data processing, analytics, and machine learning.

In Short

• Design and maintain scalable data architectures on Databricks.
• Collaborate with cross-functional teams to define data requirements.
• Develop and optimize ETL pipelines for efficient data processing.
• Provide technical leadership on Databricks and cloud solutions.
• Troubleshoot performance and scalability issues in Databricks.
• Implement data governance and security standards.
• Integrate Databricks with cloud platforms like AWS, Azure, and GCP.
• Mentor junior team members and promote continuous learning.
• Stay updated with the latest Databricks and cloud technologies.

Requirements

• Deep understanding of Databricks and cloud-based data architectures.
• Hands-on experience with Spark and Delta Lake.
• Experience in designing and implementing data solutions.
• Strong problem-solving skills and technical leadership.
• Knowledge of data governance and compliance standards.
• Ability to work collaboratively in a team environment.
• Experience with cloud platforms (AWS, Azure, GCP).
• Excellent communication skills.
• Passion for continuous learning and improvement.

Benefits

• Collaborative and autonomous work environment.
• Opportunities for professional growth and development.
• Encouragement of curiosity and exploration of interests.
• Strong work ethic and sense of pride in work.
• Focus on building effective solutions.