Title: Senior Databricks Architect
Location: Remote
Job Description:
We are seeking an experienced Databricks Architect to design, optimize, and manage enterprise-grade data solutions on the Databricks platform. The ideal candidate has deep expertise in data architecture, performance optimization, and secure data processing, with hands-on experience in Python, SQL, and both relational and NoSQL systems.
Responsibilities:
Design and implement scalable, high-performance Databricks-based architectures to meet business and analytical needs.
Develop, deploy, and maintain Databricks models and workflows for optimal efficiency and reliability.
Tune and optimize Databricks clusters, queries, and data pipelines for speed and cost-effectiveness.
Enforce data governance and security best practices across all Databricks environments.
Collaborate with data engineers, developers, and analytics teams to integrate Databricks with applications and enterprise data systems.
Monitor system performance, troubleshoot issues, and drive root cause analysis for performance bottlenecks.
Stay up to date with emerging Databricks features, ML frameworks, and cloud data technologies.
Qualifications:
Bachelor’s degree in Computer Science, Information Systems, or related field.
15+ years in data engineering or architecture, with 8+ years of Databricks experience in enterprise settings.
Strong command of Databricks architecture, deployment, configuration, and administration.
Proficiency in SQL, Python, and data modeling for both structured and unstructured data.
Experience with performance tuning, data governance, and cost management in Databricks.
Excellent communication, analytical, and problem-solving skills.
Required:
Databricks Certified Professional Data Engineer or equivalent certification.
Work Authorization: U.S. Citizens and Green Cards only
Job Type: Contract
Pay: $80.00 - $100.00 per hour
Work Location: Remote