Job description

Role:- Databricks Platform Administration Job Description:
Our client seeks a Databricks Administrator/Architect with proven skills for a 12-month engagement for creation/tuning & support of the Databricks environment. This position will be responsible for developing and designing the Databricks environment. This individual will work with internal staff to plan/design/maintain the Databricks environment and recommend changes needed to accommodate/grow as our business needs dictate. This individual will facilitate changes through the change process and work very closely with the DBA & Development Staff regarding all aspects of the design and planning of the Databricks environment.

Responsibilities:

• Provide mentorship, guidance, overall knowledge share, and support to team members, promoting continuous learning and development.
• Oversee the design, implementation, and maintenance of Databricks clusters.
• Ensure the platform s scalability, performance, and security.
• Provide escalated support and troubleshooting to users.
• Oversee maintenance of role-based access to data and features in the Databricks Platform using Unity Catalog.
• Review clusters health check and best practices implementation.
• Review and maintain documentation for users and administrators.
• Design and implement tailored data solutions to meet customer needs and use cases, spanning from ingesting data from APIs, building data pipelines, analytics, and beyond within a dynamically evolving technical stack.
• Work on projects involving on-prem data ingestion into Azure using ADF.
• Build data pipelines based on the medallion architecture that clean, transform, and aggregate data from disparate sources.

Required Skills:

• 5 Years – Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, Unity Catalog
• 5 Years – Strong understanding of Relational & Dimensional modeling.
• 6 Years – Demonstrate proficiency in coding skills – Python, SQL, and PySpark to efficiently prioritize perf, security, scalability, robust data integrations.
• 2 Years – Experience implementing serverless real-time/near real-time arch. using Cloud (i.e., Azure, AWS, or Google Cloud Platform Tech Stack), and Spark tech (Streaming & ML)
• 4 Years – Experience Azure Infra config (Networking, architect and build large data ingestion pipelines and conducting data migrations using ADF or similar tech
• 7 Years – Experience working w/ SQL Server features such as SSIS and CDC.
• 2 Years – Experience with Databricks platform, security features, Unity Catalog, and data access control mechanisms.
• 4 Years – Experience with GIT code versioning software.
Desired Skills:
• Databricks Certifications